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On the Electrodynamics of a Non-Contact Inductive Sensor for High-Accuracy Tip Deflection Measurements of Piezoceramic Bending Actuators and its Application for Energy Harvesting Purposes

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Abstract

Piezoelectric bending actuators provide deflections of several hundred micrometers and are used in electrical and mechanical engineering, acoustics, automation, automotive technology and healthcare. Highly efficient, low-cost piezoceramics offer a wide range of technical solutions. Their highpiezoelectric coefficients enable large strains at low electric field strengths. However, hysteresis, drift and creep impair positioning accuracy. Precise switching and positioning require compensation for these material-related effects, as well as varying mechanical loads and vibrations. A non-contact inductive proximity sensor is therefore combined with high-precision electronic circuit. Within a closed-loop control system, this sensor-actuator arrangement detects disturbances and enables their compensation, allowing highly efficient piezoceramics to be used for high-accuracy positioning. This paper investigates the electrodynamics of a specially developed eddy-current-based proximity sensor suitable for integration into confined spaces. A theoretical description explains its physical operating principle and enables analytical determination of the relative change in inductance as a function of actuator tip deflection. Experimental measurements validate the electrodynamic approach. The paper also considers energy harvesting applications. Measuring tip deflection allows the power dissipated in the piezoelectric transducer to be determined. The sensor system thus provides a basis for investigating and evaluating the performance of piezoelectric energy harvesters.

Introduction

The piezoelectric effect combines electrical and mechanical parameters. The conversion of a mechanical deformation into an electrical signal is called direct piezoelectric effect, the resulting deformation by applying an electric field is referred to as the reciprocal piezoelectric effect. These effects can be used for piezoceramic sensors and actuators offering a wide range of applications in the fields of acoustics, automation, communication, health care, automotive and consumer products.

The development of low drift piezoceramics reduces the effects of relaxation and hysteresis, but their low piezoelectric coefficients do not allow their use as high-efficient piezoceramic actuators. So, the range of applications with low drift piezoceramics is limited due to small deflections and forces. For larger deflections and forces a smart sensor-actuator-system is required. This paper introduces a high efficient piezoceramic bending actuator and an attached non-contact inductive proximity sensor which can be implemented into a closed control loop. The usage of the attached sensor in combination with a high-accuracy electronic circuit allows the detection and compensation of disturbing influences like inherent piezoelectric effects, external forces, moments and vibrations [1].

Inductive Sensor Principle

Figure 1 shows the measurement setup of the non-contact inductive proximity sensor for tip deflection measurements of piezoelectric bending actuators.

Miniaturized non-contact inductive proximity sensor

Figure 1. Miniaturized non-contact inductive proximity sensor to detect the tip deflection ζ\zeta of a piezoelectric bending actuator.

The non-contact inductive proximity sensor consists of an application specific integrated circuit (ASIC) and two external 3D-microcoils, which are connected to the ASIC. One coil acts as sensing coil, the other one provides a reference. The sensing coil is connected to the integrated oscillator 1. Its resonant frequency f1f_1 changes during the approach of the actuator’s tip which is covered by a detectable Cu-layer target (see Figure 2).

Schematics of the inductive proximity sensor electronics

Figure 2. Schematics of the inductive proximity sensor electronics to detect the tip deflection ζ\zeta of a piezoelectric bending actuator.

If the sensing coil is driven by an alternating current i1i_1, an alternating magnetic field will be generated. In its turn, this causes eddy currents within the Cu-layer generating magnetic fields, that counteract the external magnetic field (LENZ’s law). As a consequence, the external magnetic field decreases, resulting in a decrease ΔL1\Delta L_1 of the inductance L1L_1 of the sensing coil. Thus, the changing resonant frequency of the oscillator 1 is a measure for the deflection ζ\zeta of the bender’s tip. The reference coil is connected to the integrated oscillator 2. Its arrangement prevents an influence by the Cu-layer. With its constant inductance L2L_2, the reference coil provides the generation of the reference frequency f2f_2. The difference ∣f1−f2∣|f_1-f_2| and the sum ∣f1+f2∣|f_1+f_2| of both frequency signals are evaluated by means of the mixer and is fed through the following lowpass filter. The lowpass filter suppresses deterministically caused higher-frequency signals. The following Schmitt trigger provides a shaping of both difference frequency signals, thus the output signal foutf_{\mathrm{out}} is available in binary form (TTL level) [2].

Both oscillator circuits consist of an integrated capacitance CC as well as an active cell, maintaining the oscillation. The sensing and reference coil complete the respective LL-CC-resonant circuit. In both LL-CC-resonant circuits, the capacitance CC can be assumed to be equal. The frequency f2f_2 of the resonant circuit 2 is specified by the reference coil L2L_2 according to

f2=12πL2C(1)f_2 = \frac{1}{2\pi\sqrt{L_2 C}} \tag*{(1)}

If the conductive Cu-layer target approaches the sensing coil, eddy currents are generated within the layer weakening the alternating magnetic field of the sensing coil. Thus, the effective inductance Leff=L1−ΔL1L_{\mathrm{eff}}=L_1-\Delta L_1 of the sensing coil decreases and the oscillator’s resonant frequency increases from f1f_1 to

feff=12πLeffC=f1L1L1−ΔL1.(2)f_{\mathrm{eff}} = \frac{1}{2\pi\sqrt{L_{\mathrm{eff}}C}} = f_1\sqrt{\frac{L_1}{L_1-\Delta L_1}}. \tag*{(2)}

The general correlation between the relative frequency change and the relative inductance change concerning the oscillator 1 yields in combination with feff=f1+Δf1f_{\mathrm{eff}}=f_1+\Delta f_1

∣Δf1f1∣=∣∣∂f1∂L1∣ΔL1f1∣=12∣ΔL1L1∣.(3)\left|\frac{\Delta f_1}{f_1}\right| = \left|\frac{\left|\frac{\partial f_1}{\partial L_1}\right| \Delta L_1}{f_1}\right| = \frac{1}{2}\left|\frac{\Delta L_1}{L_1}\right|. \tag*{(3)}

Since the relative inductance change ΔL1\Delta L_1 amounts up to −30%-30\% during approximation of the Cu-layer target from a distance of several centimeters to almost contact with the coil, the maximum relative frequency change amounts 15% with respect to Eq. (3). The mixer evaluates the difference of both frequencies fefff_{\mathrm{eff}} and f2f_2. In order to achieve a reliable and a non-disturbed signal on TTL level, the difference signal is filtered by a lowpass filter and shaped by a Schmitt trigger. Thus, the output frequency results in

fout=∣feff−f2∣.(4)f_{\mathrm{out}} = |f_{\mathrm{eff}}-f_2|. \tag*{(4)}

Dependent on ΔL1/L1\Delta L_1/L_1 of the oscillator 1, the relative change of the output frequency yields in combination with Eq. (4):

∣Δfoutfout∣=∣∣∂fout∂L1∣ΔL2=0ΔL1fout∣=12∣ΔL1L1∣∣L2L1−L2∣⏟⟶15%≫1.(5)\left|\frac{\Delta f_{\mathrm{out}}}{f_{\mathrm{out}}}\right| = \left|\frac{\left|\frac{\partial f_{\mathrm{out}}}{\partial L_1}\right|_{\Delta L_2=0}\Delta L_1}{f_{\mathrm{out}}}\right| = \frac{1}{2}\left|\frac{\Delta L_1}{L_1}\right|\underbrace{\left|\frac{\sqrt{L_2}}{\sqrt{L_1}-\sqrt{L_2}}\right|}_{\longrightarrow15\% \qquad\gg1}. \tag*{(5)}

Equation (5) shows a very high relative output frequency change being achieved, if both nominal inductances of the sensing and reference coil are nearly equal, even though the change of L1L_1 and thus, the distance change between sensing coil and Cu-layer target can be very small. This aspect constitutes the choice of an inductive proximity sensor for high-accuracy tip deflection measurements for a piezoelectric bending actuator.

Equivalent Network Representation

The equivalent network of the sensing coil close to the conductive Cu-layer is illustrated in Figure 3a [3]. It is assumed, that the Cu-layer carrying the eddy current isi_s, can be represented as a series connection of the inductance LsL_s and the resistance RsR_s. The sensing coil is represented by the inductance L1L_1 and the resistance R1R_1. Due to the coupling between both LL-RR-circuits, an alternate circuit representation is to be achieved, which allows for the representation of the arising effective inductance LeffL_{\mathrm{eff}} as a function of the distance zz between sensing coil and Cu-layer (see Figure 3b).

Inductive interaction between sensing coil and conductive layer

Figure 3. Inductive interaction between sensing coil and conductive layer: (a) Interconnection by means of the distance-dependent mutual inductance M(z)M(z) (transformer). (b) Equivalent circuit representation.

In order to describe the interaction between the Cu-layer and sensing coil, an equivalent circuit representation of a transformer without iron core is considered (see Figure 4). Assuming two coils with N1N_1 and N2N_2 turns and taking LENZ’s law into account, following pair of equations can be formulated for both meshes of the circuit shown in Figure 4:

General circuit representation of a transformer without iron core and with coils wound in the same direction

Figure 4. General circuit representation of a transformer without iron core and with coils wound in the same direction

−v1+i1R1=−N1dΦ1dt(6)-v_1 + i_1 R_1 = -N_1 \frac{\mathrm{d}\Phi_1}{\mathrm{d}t} \tag*{(6)}
−v2+i2R2=−N2dΦ2dt(7)-v_2 + i_2 R_2 = -N_2 \frac{\mathrm{d}\Phi_2}{\mathrm{d}t} \tag*{(7)}

The quantities Φ1\Phi_1 and Φ2\Phi_2 correspond to the magnetic flux correlated with coil 1 and 2, respectively. The individual fluxes are proportional to the currents i1i_1 and i2i_2:

N1Φ1=L1i1+Mi2(8)N_1\Phi_1 = L_1 i_1 + M i_2 \tag*{(8)}
N2Φ2=L2i2+Mi1(9)N_2\Phi_2 = L_2 i_2 + M i_1 \tag*{(9)}

In the Eqs. (8) and (9) the quantities L1L_1 and L2L_2 denote the self-inductances, the quantity MM denotes the mutual inductance. Taking Eqs. (8) and (9) into consideration, both Eqs. (6) and (7) can be reformulated:

−v1+i1R1=−L1di1dt−Mdi2dt(10)-v_1 + i_1 R_1 = -L_1 \frac{\mathrm{d}i_1}{\mathrm{d}t} - M \frac{\mathrm{d}i_2}{\mathrm{d}t} \tag*{(10)}
−v2+i2R2=−L2di2dt−Mdi1dt(11)-v_2 + i_2 R_2 = -L_2 \frac{\mathrm{d}i_2}{\mathrm{d}t} - M \frac{\mathrm{d}i_1}{\mathrm{d}t} \tag*{(11)}

The correlations formulated in Eqs. (10) and (11) are applied to the equivalent circuit representation in Figure 3a. Following analogies are achieved:

v1=v0,i1=i1,i2=is,v2=0(12)v_1 = v_0,\quad i_1 = i_1,\quad i_2 = i_s,\quad v_2 = 0 \tag*{(12)}

Using the analogies in Eq. (12), the Eqs. (10) and (11) can be reformulated according to

v0=i1R1+L1di1dt+Mdisdt(13)v_0 = i_1 R_1 + L_1 \frac{\mathrm{d}i_1}{\mathrm{d}t} + M \frac{\mathrm{d}i_s}{\mathrm{d}t} \tag*{(13)}
0=isRs+Lsdisdt+Mdi1dt.(14)0 = i_s R_s + L_s \frac{\mathrm{d}i_s}{\mathrm{d}t} + M \frac{\mathrm{d}i_1}{\mathrm{d}t}. \tag*{(14)}

In case of steady state currents and voltages, the complex root mean square values yield:

V0=(R1+jωL1)I1+jωMIs(15)V_0 = (R_1 + \mathrm{j}\omega L_1) I_1 + \mathrm{j}\omega M I_s \tag*{(15)}
0=(Rs+jωLs)Is+jωMI1(16)0 = (R_s + \mathrm{j}\omega L_s) I_s + \mathrm{j}\omega M I_1 \tag*{(16)}

Rearranging of Eq. (16) with respect to the eddy current IsI_s and following insertion into Eq. (15) results in the potential difference at the clamps of oscillator 1:

V0=I1[R1+ω2M2RsRs2+ω2Ls2+jω(L1−ω2M2Rs2+ω2Ls2)](17)V_0 = I_1 \left[R_1 + \frac{\omega^2 M^2 R_s}{R_s^2 + \omega^2 L_s^2} + \mathrm{j}\omega\left(L_1 - \frac{\omega^2 M^2}{R_s^2 + \omega^2 L_s^2}\right)\right] \tag*{(17)}

Due to the high conductivity of the Cu-layer target attached to the bender’s tip (Rs2≪ω2Ls2R_s^2 \ll\omega^2 L_s^2), Eq. (17) can be simplified:

V0=I1[R1+M2Ls2Rs+jω(L1−M2Ls)]=I1(Re+jωLe)(18)V_0 = I_1 \left[R_1 + \frac{M^2}{L_s^2} R_s + \mathrm{j}\omega\left(L_1 - \frac{M^2}{L_s}\right)\right] = I_1 (R_e + \mathrm{j}\omega L_e) \tag*{(18)}

Thus, the resistance ReR_e and the inductance LeL_e of the equivalent network in Figure 3b are known. The definition of the coupling coefficient

k(z)=M(z)L1Ls(19)k(z) = \frac{M(z)}{\sqrt{L_1 L_s}} \tag*{(19)}

implies the formulation of the mutual inductance M(z)M(z) as a function of distance zz between the bender’s tip and sensing coil. Thus, the equivalent quantities ReR_e and LeL_e are dependent on the distance zz according to

Re(z)=R1+RsL1Lsk2(z)(20)R_e(z) = R_1 + R_s \frac{L_1}{L_s} k^2(z) \tag*{(20)}

and

Le(z)=L1[1−k2(z)].(21)L_e(z) = L_1 \left[1 - k^2(z)\right]. \tag*{(21)}

Equation (21) allows the formulation of the relative inductance change of the sensing coil 1:

L1−Le(z)L1=ΔL1L1=k2(z)(22)\frac{L_1 - L_e(z)}{L_1} = \frac{\Delta L_1}{L_1} = k^2(z) \tag*{(22)}

With respect to Eq. (1), the basic inductance L1(z→∞)L_1(z \to\infty) is correlated with the frequency f1f_1 of oscillator 1:

L1=14π2f12C(23)L_1 = \frac{1}{4\pi^2 f_1^2 C} \tag*{(23)}

Similarly, the equivalent inductance yields

Le(z)=14π2fe2(z)C.(24)L_{\mathrm{e}}(z) = \frac{1}{4\pi^2 f_{\mathrm{e}}^2(z) C}. \tag*{(24)}

Thus, Eq. (22) can be reformulated:

ΔL1L1=1−(f1fe(z))2(25)\frac{\Delta L_1}{L_1} = 1 - \left(\frac{f_1}{f_{\mathrm{e}}(z)}\right)^2 \tag*{(25)}

In a next step, the distance-dependent relative inductance change will be calculated by an electrodynamic approach.

Inductance of a Circular Loop Influenced by a Conductive Layer

The arrangement of a circular loop opposite to a conductive layer is shown in Figure 5. With respect to the origin of the coordinate system, the circular loop is parallel to the surface layer in distance z=−dz=-d. The represented arrangement is axially symmetric, thus it is described by means of cylindrical coordinates (r,θ,z)(r,\theta,z).

Arrangement of a circular loop opposite to a conductive layer, side view

Figure 5. Arrangement of a circular loop opposite to a conductive layer (side view)

With respect to MAXWELL’s equations for time-variable fields, the electric field E generates a magnetic field H by means of the conduction and displacement current. On its part, the magnetic field H generates an electric field by means of induction. Thus, electric and magnetic fields are connected with each other. For the physical description of the arrangement illustrated in Figure 5, the vector of the magnetic field strength H(r,t)\mathbf{H}(r,t) is of interest.

Solution Approach

The fundamental describing MAXWELL equations are:

curl⁡E(r,t)=−∂B(r,t)∂t(26)\operatorname{curl}\mathbf{E}(r,t) = -\frac{\partial\mathbf{B}(r,t)}{\partial t} \tag*{(26)}
curl⁡H(r,t)=∂D(r,t)∂t+J(r,t)(27)\operatorname{curl}\mathbf{H}(r,t) = \frac{\partial\mathbf{D}(r,t)}{\partial t} + \mathbf{J}(r,t) \tag*{(27)}

Taking the material-specific relations for the electric displacement D(r,t)\mathbf{D}(r,t), the current density J(r,t)\mathbf{J}(r,t) and the magnetic induction B(r,t)\mathbf{B}(r,t) in accordance with

D(r,t)=εE(r,t)(28)\mathbf{D}(\mathbf{r},t)=\varepsilon\mathbf{E}(\mathbf{r},t) \tag*{(28)}
J(r,t)=κE(r,t)(29)\mathbf{J}(\mathbf{r},t)=\kappa\mathbf{E}(\mathbf{r},t) \tag*{(29)}
B(r,t)=μH(r,t)(30)\mathbf{B}(\mathbf{r},t)=\mu\mathbf{H}(\mathbf{r},t) \tag*{(30)}

into account, it can be written:

curl⁡E(r,t)=−μ∂H(r,t)∂t(31)\operatorname{curl}\mathbf{E}(\mathbf{r},t)=-\mu\frac{\partial\mathbf{H}(\mathbf{r},t)}{\partial t} \tag*{(31)}
curl⁡H(r,t)=ε∂E(r,t)∂t+κE(r,t)(32)\operatorname{curl}\mathbf{H}(\mathbf{r},t)=\varepsilon\frac{\partial\mathbf{E}(\mathbf{r},t)}{\partial t}+\kappa\mathbf{E}(\mathbf{r},t) \tag*{(32)}

The permittivity ε\varepsilon, the conductivity κ\kappa and the permeability μ\mu in Eqs. (31) and (32) are assumed to exhibit a time-independent, isotropic behavior. The application of the vector operation "curl" to Eq. (32) and following insertion of Eq. (31) yields:

curl⁡curl⁡H(r,t)=−εμ∂2H(r,t)∂t2−κμ∂H(r,t)∂t(33)\operatorname{curl}\operatorname{curl}\mathbf{H}(\mathbf{r},t)=-\varepsilon\mu\frac{\partial^{2}\mathbf{H}(\mathbf{r},t)}{\partial t^{2}}-\kappa\mu\frac{\partial\mathbf{H}(\mathbf{r},t)}{\partial t} \tag*{(33)}

According to the calculation rules of vector analysis, it can be written in general [4]:

curl⁡curl⁡X=grad⁡div⁡X−ΔX(34)\operatorname{curl}\operatorname{curl}\mathbf{X}=\operatorname{grad}\operatorname{div}\mathbf{X}-\Delta\mathbf{X} \tag*{(34)}

Thus, Eq. (33) can be reformulated:

grad⁡div⁡H(r,t)−ΔH(r,t)=−εμ∂2H(r,t)∂t2−κμ∂H(r,t)∂t(35)\operatorname{grad}\operatorname{div}\mathbf{H}(\mathbf{r},t)-\Delta\mathbf{H}(\mathbf{r},t)=-\varepsilon\mu\frac{\partial^{2}\mathbf{H}(\mathbf{r},t)}{\partial t^{2}}-\kappa\mu\frac{\partial\mathbf{H}(\mathbf{r},t)}{\partial t} \tag*{(35)}

Since there is no source of magnetic field (div⁡H(r,t)=0\operatorname{div}\mathbf{H}(\mathbf{r},t)=0), Eq. (35) can be simplified:

ΔH(r,t)−εμ∂2H(r,t)∂t2−κμ∂H(r,t)∂t=0(36)\Delta\mathbf{H}(\mathbf{r},t)-\varepsilon\mu\frac{\partial^{2}\mathbf{H}(\mathbf{r},t)}{\partial t^{2}}-\kappa\mu\frac{\partial\mathbf{H}(\mathbf{r},t)}{\partial t}=0 \tag*{(36)}

Equation (36) results in two differential equations, one for the metallic semi-infinite space (ε=0\varepsilon=0, μ\mu, κ\kappa) and one for the medium air (ε=ε0\varepsilon=\varepsilon_{0}, μ=μ0\mu=\mu_{0}, κ=0\kappa=0):

ΔH(r,t)−κμ∂H(r,t)∂t=0metal(37)\Delta\mathbf{H}(\mathbf{r},t)-\kappa\mu\frac{\partial\mathbf{H}(\mathbf{r},t)}{\partial t}=0 \qquad\text{metal} \tag*{(37)}
ΔH(r,t)−ε0μ0∂2H(r,t)∂t2=0air(38)\Delta\mathbf{H}(\mathbf{r},t)-\varepsilon_{0}\mu_{0}\frac{\partial^{2}\mathbf{H}(\mathbf{r},t)}{\partial t^{2}}=0 \qquad\text{air} \tag*{(38)}

The expressions (37) and (38) represent the electromagnetic skin and wave equation concerning the magnetic field in metal and air, respectively. Since cylindrical coordinates are used, the Laplacian Δ\Delta has to be formulated explicitly. Taking the angle independence of the magnetic field (∂H(r,t)/∂θ=0\partial\mathbf{H}(\mathbf{r},t)/\partial\theta=0) into consideration, the necessary differential equations of the zz-component of the magnetic field result in their final formulation [7]:

1r∂∂r(r∂Hz∂r)+∂2Hz∂z2−κμ∂Hz∂t=0metal(39)\frac{1}{r}\frac{\partial}{\partial r}\left(r\frac{\partial H_{z}}{\partial r}\right)+\frac{\partial^{2}H_{z}}{\partial z^{2}}-\kappa\mu\frac{\partial H_{z}}{\partial t}=0 \qquad\text{metal} \tag*{(39)}
1r∂∂r(r∂Hz∂r)+∂2Hz∂z2−ε0μ0∂2Hz∂t2=0air(40)\frac{1}{r}\frac{\partial}{\partial r}\left(r\frac{\partial H_{z}}{\partial r}\right)+\frac{\partial^{2}H_{z}}{\partial z^{2}}-\varepsilon_{0}\mu_{0}\frac{\partial^{2}H_{z}}{\partial t^{2}}=0 \qquad\text{air} \tag*{(40)}

Alternating Magnetic Field Within a Conductive Layer

In order to find a solution for the alternating magnetic field within the conductive layer, Eq. (39) is reformulated according to:

∂2Hz∂r2+∂2Hz∂z2+1r∂Hz∂r−κμ∂Hz∂t=0(41)\frac{\partial^2 H_z}{\partial r^2}+\frac{\partial^2 H_z}{\partial z^2}+\frac{1}{r}\frac{\partial H_z}{\partial r}-\kappa\mu\frac{\partial H_z}{\partial t}=0 \tag*{(41)}

The separation of variables serves as method for finding a general solution:

Hz(r,z,t)=V(r,z)W(t)(42)H_z(r,z,t)=V(r,z)W(t) \tag*{(42)}

Since the circular loop is subjected to a sinusoidal alternating current I(t)=IejωtI(t)=I e^{j\omega t}, the real time function Hz(r,z,t)H_z(r,z,t) is replaced by the complex time function Hz(r,z,t)H_z(r,z,t). Thus, Eq. (42) can be written as follows:

Hz(r,z,t)=V(r,z)ejωt(43)H_z(r,z,t)=V(r,z)e^{j\omega t} \tag*{(43)}

Insertion of Eq. (43) into Eq. (41) and following separation of the variables (r,z,t)(r,z,t) yields

1V(∂2V∂r2+∂2V∂z2+1r∂V∂r)=jωκμ=:−ν2.(44)\frac{1}{V}\left(\frac{\partial^2 V}{\partial r^2}+\frac{\partial^2 V}{\partial z^2}+\frac{1}{r}\frac{\partial V}{\partial r}\right)=j\omega\kappa\mu=:-\nu^2. \tag*{(44)}

Here, ν\nu is a constant, since the left side of Eq. (44) is independent of tt and the right side is independent of rr and zz. Applying the method of separation of variables again results in

V(r,z)=X(r)Y(z).(45)V(r,z)=X(r)Y(z). \tag*{(45)}

Insertion of Eq. (45) into Eq. (44) yields

1X(r)d2X(r)dr2+1X(r)1rdX(r)dr=−1Y(z)d2Y(z)dz2−ν2=:−un2,(46)\frac{1}{X(r)}\frac{\mathrm{d}^2X(r)}{\mathrm{d}r^2}+\frac{1}{X(r)}\frac{1}{r}\frac{\mathrm{d}X(r)}{\mathrm{d}r}=-\frac{1}{Y(z)}\frac{\mathrm{d}^2Y(z)}{\mathrm{d}z^2}-\nu^2=:-u_n^2, \tag*{(46)}

where unu_n denotes another constant. Two ordinary differential equations for X(r)X(r) and Y(z)Y(z) result from Eq. (46):

d2Y(z)dz2−Y(z)(un2−ν2)=0(47)\frac{\mathrm{d}^2Y(z)}{\mathrm{d}z^2}-Y(z)(u_n^2-\nu^2)=0 \tag*{(47)}
d2X(r)dr2+1rdX(r)dr+X(r)un2=0(48)\frac{\mathrm{d}^2X(r)}{\mathrm{d}r^2}+\frac{1}{r}\frac{\mathrm{d}X(r)}{\mathrm{d}r}+X(r)u_n^2=0 \tag*{(48)}

The solution Y(z)Y(z) of the homogeneous linear differential equation Eq. (47) results from the linear combination of two linear independent solutions (basis solutions). Here, the solutions eλze^{\lambda z} and e−λze^{-\lambda z} represent the fundamental system of the differential equation. Following solution is achieved:

Y(z)=A1ne−zun2+jωκμ+A2nezun2+jωκμ(49)Y(z)=A_{1n}e^{-z\sqrt{u_n^2+j\omega\kappa\mu}}+A_{2n}e^{z\sqrt{u_n^2+j\omega\kappa\mu}} \tag*{(49)}

In order to find a solution X(r)X(r) for the differential equation Eq. (48), a transition to the variable ρ:=unr\rho:=u_n r is defined. With the definition

Z(ρ):=X(ρ/un)(50)Z(\rho):=X(\rho/u_n) \tag*{(50)}

and following insertion into Eq. (48), BESSEL’s differential equation follows:

d2Z(ρ)dρ2+1ρdZ(ρ)dρ+Z(ρ)=0(51)\frac{\mathrm{d}^2Z(\rho)}{\mathrm{d}\rho^2}+\frac{1}{\rho}\frac{\mathrm{d}Z(\rho)}{\mathrm{d}\rho}+Z(\rho)=0 \tag*{(51)}

The general solution of Eq. (51) results in [5]:

Z(ρ)=C1J0(ρ)(52)Z(\rho) = C_1 J_0(\rho) \tag*{(52)}

Choosing C1=1C_1 = 1, which does not influence the total solution at all, and taking Eq. (50) into consideration, the solution X(r)X(r) is achieved:

X(r)=J0(unr).(53)X(r) = J_0(u_n r). \tag*{(53)}

The expression J0(unr)J_0(u_n r) represents BESSEL's function of first kind and order zero. Taking Eqs. (43) and (41) into account, the formal solution is achieved by superposition [5]:

Hz(r,z,t)=ejωt∑n=1∞J0(unr)A1ne−zun2+jωκμ+ejωt∑n=1∞J0(unr)A2nezun2+jωκμ(54)H_z(r,z,t) = e^{j\omega t}\sum_{n=1}^{\infty} J_0(u_n r)A_{1n}e^{-z\sqrt{u_n^2+j\omega\kappa\mu}} + e^{j\omega t}\sum_{n=1}^{\infty} J_0(u_n r)A_{2n}e^{z\sqrt{u_n^2+j\omega\kappa\mu}} \tag*{(54)}

Due to the continuous spectrum of the eigenvalues uu, Eq. (54) can be written in integral form [6]:

Hz(r,z,t)=ejωt∫0∞J0(ur)A1e−zu2+jωκμ du+ejωt∫0∞J0(ur)A2ezu2+jωκμ du(55)H_z(r,z,t) = e^{j\omega t}\int_{0}^{\infty} J_0(ur)A_1e^{-z\sqrt{u^2+j\omega\kappa\mu}}\,du + e^{j\omega t}\int_{0}^{\infty} J_0(ur)A_2e^{z\sqrt{u^2+j\omega\kappa\mu}}\,du \tag*{(55)}

Finally, the quantities A1A_1 and A2A_2 can be solved by means of corresponding boundary conditions.

The general solution for the alternating magnetic field in the air is similar to Eq. (55), while the term jωκμj\omega\kappa\mu has to be replaced by the term −ε0μ0ω2-\varepsilon_0\mu_0\omega^2. Since the oscillator 1 of the available inductive proximity sensor exhibits an oscillation frequency of f≈17 MHzf \approx17\,\mathrm{MHz}, the term −ε0μ0ω2-\varepsilon_0\mu_0\omega^2 can be neglected. Thus, the alternating magnetic field in the air is formulated as following:

Hz(r,z,t)=ejωt∫0∞J0(ur)[B1e−zu+B2ezu] du(56)H_z(r,z,t) = e^{j\omega t}\int_{0}^{\infty} J_0(ur)\left[B_1e^{-zu}+B_2e^{zu}\right]\,du \tag*{(56)}

Magnetic Field of a Circular Loop

The geometrical quantities being necessary for the calculation of the magnetic field of a circular loop (radius aa) along its axis in distance zz from the center (point of origin) are shown in Figure 6. The vector dl\mathrm{d}l points in direction of the alternating current I(t)=IejωtI(t)=Ie^{j\omega t}. The current loop in space is characterized by the quantity CC, the vector rd\mathbf{r}_d points from the source point Q to the space point P. Due to the present symmetry, cylindrical coordinates are used for following considerations.

Geometry of a circular loop for the calculation of the magnetic field along the z-axis

Figure 6. Geometry of a circular loop for the calculation of the magnetic field along the zz-axis.

In order to calculate the magnetic field of a circular loop along its axis of symmetry, the BIOT-SAVART law is considered:

H(rp,t)=Iejωt∫Cdl×rdrd3(57)\mathbf{H}(\mathbf{r}_p,t) = Ie^{j\omega t}\int_C \frac{\mathrm{d}\mathbf{l}\times\mathbf{r}_d}{r_d^3} \tag*{(57)}

The vector dl\mathrm{d}\mathbf{l} can be defined using the unit vector eφ\mathbf{e}_{\varphi}:

dl=a dφ eφ(58)\mathrm{d}\mathbf{l}=a\,\mathrm{d}\varphi\,\mathbf{e}_{\varphi} \tag*{(58)}

The vector rd\mathbf{r}_{\mathrm{d}} pointing from source point Q at space point P results from the difference of the position vectors rp\mathbf{r}_{\mathrm{p}} and rq\mathbf{r}_{\mathrm{q}}:

rd=rp−rq=zez−aer(59)\mathbf{r}_{\mathrm{d}}=\mathbf{r}_{\mathrm{p}}-\mathbf{r}_{\mathrm{q}}=z\mathbf{e}_{z}-a\mathbf{e}_{r} \tag*{(59)}

The vector product dl×rd\mathrm{d}\mathbf{l}\times\mathbf{r}_{\mathrm{d}} can be determined with Eqs. (58) and (59).

dl×rd=a dφeφ×(zez+aer)=za dφer+a2 dφez(60)\mathrm{d}\mathbf{l}\times\mathbf{r}_{\mathrm{d}}=a\,\mathrm{d}\varphi\mathbf{e}_{\varphi}\times\left(z\mathbf{e}_{z}+a\mathbf{e}_{r}\right)=za\,\mathrm{d}\varphi\mathbf{e}_{r}+a^{2}\,\mathrm{d}\varphi\mathbf{e}_{z} \tag*{(60)}

Furthermore, Eq. (59) yields

∣rd∣=z2+a2.(61)\left|\mathbf{r}_{\mathrm{d}}\right|=\sqrt{z^{2}+a^{2}}. \tag*{(61)}

Insertion of Eqs. (60) and (61) into Eq. (57) yields the axial component of the magnetic field:

Hz(r=0,z,t)=a2I2(z2+a2)3/2ejωt(62)H_{z}(r=0,z,t)=\frac{a^{2}I}{2\left(z^{2}+a^{2}\right)^{3/2}}e^{j\omega t} \tag*{(62)}

In order to provide a general representation of the magnetic field of a circular loop in the following form

Hz(r,z,t)=ejωt∫0∞J0(ur)[B1e−zu+B2ezu] du,(63)H_{z}(r,z,t)=e^{j\omega t}\int_{0}^{\infty}J_{0}(ur)\left[B_{1}e^{-zu}+B_{2}e^{zu}\right]\,\mathrm{d}u, \tag*{(63)}

following integral has to be evaluated [8]:

∫0∞e−zuJ0(au) du(64)\int_{0}^{\infty}e^{-zu}J_{0}(au)\,\mathrm{d}u \tag*{(64)}

BESSEL’s function of first kind and order zero can be defined by a complex exponential function (generating function) in integral form [9, 10]:

J0(au)=12π∫02πejaucos⁡φ dφ(65)J_{0}(au)=\frac{1}{2\pi}\int_{0}^{2\pi}e^{jau\cos\varphi}\,\mathrm{d}\varphi \tag*{(65)}

Insertion of Eq. (65) into Eq. (64) results in

12π∫02π∫0∞e−(z−jacos⁡φ)u du=12π∫02π1z−jacos⁡φ⏟(∗) dφ.(66)\frac{1}{2\pi}\int_{0}^{2\pi}\int_{0}^{\infty}e^{-(z-ja\cos\varphi)u}\,\mathrm{d}u=\frac{1}{2\pi}\int_{0}^{2\pi}\frac{1}{\underbrace{z-ja\cos\varphi}_{(*)}}\,\mathrm{d}\varphi. \tag*{(66)}

Rewriting (*) in the form

1z−jacos⁡φ=zz2+a2cos⁡2φ+jacos⁡φz2+a2cos⁡2φ,(67)\frac{1}{z-ja\cos\varphi}=\frac{z}{z^{2}+a^{2}\cos^{2}\varphi}+j\frac{a\cos\varphi}{z^{2}+a^{2}\cos^{2}\varphi}, \tag*{(67)}

inserting it into Eq. (66) and integrating it in combination with appropriate integral tables [11] gives following correlation

∫0∞e−zuJ0(au) du=1z2+a2.(68)\int_{0}^{\infty}e^{-zu}J_{0}(au)\,\mathrm{d}u=\frac{1}{\sqrt{z^{2}+a^{2}}}. \tag*{(68)}

The derivative with respect to the variable aa according to

∫0∞e−zuddaJ0(au) du=dda1z2+a2(69)\int_{0}^{\infty} e^{-zu}\frac{\mathrm{d}}{\mathrm{d}a}J_0(au)\,\mathrm{d}u=\frac{\mathrm{d}}{\mathrm{d}a}\frac{1}{\sqrt{z^2+a^2}} \tag*{(69)}

together with the general derivation rule for BESSEL’s function [12]

ddxJp(x)=pxJp(x)−Jp+1(x)(70)\frac{\mathrm{d}}{\mathrm{d}x}J_p(x)=\frac{p}{x}J_p(x)-J_{p+1}(x) \tag*{(70)}

results in the expression

∫0∞e−zuJ1(au)u du=a(z2+a2)3/2.(71)\int_{0}^{\infty}e^{-zu}J_1(au)u\,\mathrm{d}u=\frac{a}{(z^2+a^2)^{3/2}}. \tag*{(71)}

Multiplication with Iejωt/2Ie^{j\omega t}/2 on both sides of Eq. (71) finally results in

12ejωt∫0∞e−zuJ1(au)auI du=a2I2(z2+a2)3/2ejωt,(72)\frac{1}{2}e^{j\omega t}\int_{0}^{\infty}e^{-zu}J_1(au)auI\,\mathrm{d}u=\frac{a^2I}{2(z^2+a^2)^{3/2}}e^{j\omega t}, \tag*{(72)}

which exactly matches the analytical description (62) of the magnetic field of a circular loop along the zz-axis.

Since the origin of the coordinate system in Figure 5 is not located in the center of the circular loop, but shifted in zz-direction (z=−dz=-d), Eq. (72) results in

Hz(r=0,z,t)=12ejωt∫0∞e−(z+d)uJ1(au)auI du=12ejωt∫0∞e−zue−duJ1(au)auI du.(73)H_z(r=0,z,t)=\frac{1}{2}e^{j\omega t}\int_{0}^{\infty}e^{-(z+d)u}J_1(au)auI\,\mathrm{d}u=\frac{1}{2}e^{j\omega t}\int_{0}^{\infty}e^{-zu}e^{-du}J_1(au)auI\,\mathrm{d}u. \tag*{(73)}

The expression defined in Eq. (73) has to be equivalent to the general formulation of the magnetic field in Eq. (63) with respect to r=0r=0, thus with J0(0)=1J_0(0)=1 following condition can be formulated:

∫0∞[B1e−zu+B2ezu] du=12∫0∞e−zue−duJ1(au)auI du(74)\int_{0}^{\infty}\left[B_1e^{-zu}+B_2e^{zu}\right]\,\mathrm{d}u=\frac{1}{2}\int_{0}^{\infty}e^{-zu}e^{-du}J_1(au)auI\,\mathrm{d}u \tag*{(74)}

Comparing left and right side of Eq. (74) immediately yields

B2=0,(75)B_2=0, \tag*{(75)}

resulting in

∫0∞B1e−zu du=12∫0∞e−zue−duJ1(au)auI du.(76)\int_{0}^{\infty}B_1e^{-zu}\,\mathrm{d}u=\frac{1}{2}\int_{0}^{\infty}e^{-zu}e^{-du}J_1(au)auI\,\mathrm{d}u. \tag*{(76)}

Comparing left and right side of Eq. (76), the constant B1B_1 can be formulated according to

B1=12auIe−duJ1(au) du.(77)B_1=\frac{1}{2}auIe^{-du}J_1(au)\,\mathrm{d}u. \tag*{(77)}

Inserting Eq. (77) into Eq. (63) and taking Eq. (75) into consideration, the general description of the magnetic field of a circular loop dependent on the coordinates (r,z,t)(r,z,t) is achieved:

Hz(r,z,t)=ejωt∫0∞B1e−zuJ0(ur) du(z>−d)(78)H_z(r,z,t)=e^{j\omega t}\int_{0}^{\infty}B_1e^{-zu}J_0(ur)\,\mathrm{d}u\qquad(z>-d) \tag*{(78)}

Equation (78) allows for calculation of the magnetic field in the plane of the circular loop (z=−dz=-d).

H‾coil=Hz(r,z=−d,t)=ejωt∫0∞B1eudJ0(ur) du(79)\underline{H}_{\mathrm{coil} }=H_z(r,z=-d,t)=\mathrm{e}^{j\omega t}\int_{0}^{\infty}B_1\mathrm{e}^{ud}J_0(ur)\,\mathrm{d}u \tag*{(79)}

The achieved expression in Eq. (79) will play an important role for the analytical calculation of the relative inductance change of a circular loop in presence of a conductive layer.

Influence of a Conductive Layer

In order to investigate the influence of a conductive layer of thickness hh on a circular loop, the upper and lower surface of the conductive layer are assumed to be formed by the two planes at z=0z=0 and z=hz=h (see Figure 5). For the consideration of the influence on the space z<0z<0, the magnetic field of the circular loop Eq. (78) has to be modified by an additional term. This will ensure the analytical formulation corresponding to the general form in Eq. (63) and moreover, the part of the additional magnetic field is zero for z→−∞z\to-\infty. The magnetic field Hz′H'_z between circular loop and conductive layer (−d<z<0-d<z<0) can be described by

Hz′(r,z,t)=ejωt∫0∞J0(ur)[B1e−zu+B2ezu] du(80)H'_z(r,z,t)=\mathrm{e}^{j\omega t}\int_{0}^{\infty}J_0(ur)\left[B_1\mathrm{e}^{-zu}+B_2\mathrm{e}^{zu}\right]\,\mathrm{d}u \tag*{(80)}

where B1B_1 has already been defined by Eq. (77). B2B_2 has to be determined.

Within the conductive layer, the description of the magnetic field results from Eq. (55). Using the definition

k=ωκμu2,(81)k=\frac{\omega\kappa\mu}{u^2}, \tag*{(81)}

for (0<z<h0<z<h), expression Eq. (55) is reformulated according to

Hz′(r,z,t)=ejωt∫0∞J0(ur)A1e−uz1+jk du+ejωt∫0∞J0(ur)A2euz1+jk du.(82)H'_z(r,z,t)=\mathrm{e}^{j\omega t}\int_{0}^{\infty}J_0(ur)A_1\mathrm{e}^{-uz\sqrt{1+jk}}\,\mathrm{d}u+\mathrm{e}^{j\omega t}\int_{0}^{\infty}J_0(ur)A_2\mathrm{e}^{uz\sqrt{1+jk}}\,\mathrm{d}u. \tag*{(82)}

The magnetic field outside the layer (z>hz>h) can be described similarly to the expression Eq. (63). However, the positive exponential term has to be excluded:

Hz′(r,z,t)=ejωt∫0∞C1e−zuJ0(ur) du(z>h)(83)H'_z(r,z,t)=\mathrm{e}^{j\omega t}\int_{0}^{\infty}C_1\mathrm{e}^{-zu}J_0(ur)\,\mathrm{d}u\qquad(z>h) \tag*{(83)}

In order to determine the four unknown quantities B1B_1, A1A_1, A2A_2 and C1C_1, the continuity characteristics of the normal component BnB_n of the magnetic induction and the discontinuity characteristics of the normal component HnH_n of the magnetic field are consulted with respect to both boundary surfaces of the conductive layer at z=0z=0, z=hz=h and r=0r=0, i.e.

Bn1=Bn2(84)B_{n1}=B_{n2} \tag*{(84)}

and

dHn1dz=dHn2dz.(85)\frac{\mathrm{d}H_{n1}}{\mathrm{d}z}=\frac{\mathrm{d}H_{n2}}{\mathrm{d}z}. \tag*{(85)}

The following system of equations is achieved:

μ0(B1+B2)=μ(A1+A2)(86)\mu_0(B_1+B_2)=\mu(A_1+A_2) \tag*{(86)}
B1−B2=1+jk(A1−A2)(87)B_1-B_2=\sqrt{1+\mathrm{j}k}(A_1-A_2) \tag*{(87)}
μ(A1e−uh1+jk+A2euh1+jk)=μ0C1e−uh(88)\mu\left(A_1e^{-uh\sqrt{1+\mathrm{j}k}}+A_2e^{uh\sqrt{1+\mathrm{j}k}}\right)=\mu_0C_1e^{-uh} \tag*{(88)}
1+jk(A1e−uh1+jk−A2euh1+jk)=C1e−uh(89)\sqrt{1+\mathrm{j}k}\left(A_1e^{-uh\sqrt{1+\mathrm{j}k}}-A_2e^{uh\sqrt{1+\mathrm{j}k}}\right)=C_1e^{-uh} \tag*{(89)}

Since the magnetic field between circular loop and conductive layer is of interest, the quantity B2B_2 has to be determined. Eliminating of A1A_1, A2A_2 and C1C_1 yields:

B1B2=[μ+μ0(1+jk)]sinh⁡(uh1+jk)[μ−μ0(1+jk)]sinh⁡(uh1+jk)+2μμ01+jkcosh⁡(uh1+jk)[μ−μ0(1+jk)]sinh⁡(uh1+jk)(90)\frac{B_1}{B_2}=\frac{\left[\mu+\mu_0(1+\mathrm{j}k)\right]\sinh\left(uh\sqrt{1+\mathrm{j}k}\right)}{\left[\mu-\mu_0(1+\mathrm{j}k)\right]\sinh\left(uh\sqrt{1+\mathrm{j}k}\right)}+\frac{2\mu\mu_0\sqrt{1+\mathrm{j}k}\cosh\left(uh\sqrt{1+\mathrm{j}k}\right)}{\left[\mu-\mu_0(1+\mathrm{j}k)\right]\sinh\left(uh\sqrt{1+\mathrm{j}k}\right)} \tag*{(90)}

The axial component of the magnetic field within the plane of the circular loop Hz′(r,z=−d,t)=Hcoil′H'_z(r,z=-d,t)=H'_{\mathrm{coil}} in presence of the conductive layer yields with Eq. (80)

Hcoil′=ejωt∫0∞J0(ur)[B1eud+B2e−ud] du(91)H'_{\mathrm{coil}}=e^{\mathrm{j}\omega t}\int_0^\infty J_0(ur)\left[B_1e^{ud}+B_2e^{-ud}\right]\,du \tag*{(91)}

where B1B_1 and B2B_2 are defined by Eq. (77) and Eq. (90), respectively.

Relative Inductance Change of a Circular Loop in Presence of a Conductive Layer

On the basis of the definition for the magnetic flux within the plane of the circular loop in accordance with

Φcoil=2πμ0∫0aHcoilr dr(92)\Phi_{\mathrm{coil}}=2\pi\mu_0\int_0^a H_{\mathrm{coil}}r\,dr \tag*{(92)}

a conductive layer influences the magnetic field of the coil HcoilH_{\mathrm{coil}} resulting in a change of the magnetic flux:

ΔΦ=Φcoil−Φcoil′=2πμ0∫0a(Hcoil−Hcoil′)r dr(93)\Delta\Phi=\Phi_{\mathrm{coil}}-\Phi'_{\mathrm{coil}}=2\pi\mu_0\int_0^a\left(H_{\mathrm{coil}}-H'_{\mathrm{coil}}\right)r\,dr \tag*{(93)}

Insertion of Eqs. (79) and (91) into Eq. (93) yields the change of the magnetic flux at position z=−dz=-d

ΔΦ=−2πμ0ejωt∫0∞∫0aJ0(ur)B2e−udr dr du(94)\Delta\Phi=-2\pi\mu_0e^{\mathrm{j}\omega t}\int_0^\infty\int_0^a J_0(ur)B_2e^{-ud}r\,dr\,du \tag*{(94)}

and thus

ΔΦ=−2πμ0ejωt∫0∞∫0aB2B1J0(ur)B1e−udr dr du(95)\Delta\Phi=-2\pi\mu_0e^{\mathrm{j}\omega t}\int_0^\infty\int_0^a \frac{B_2}{B_1}J_0(ur)B_1e^{-ud}r\,dr\,du \tag*{(95)}

Insertion of definition (77) for B1B_1 into Eq. (95) results in

ΔΦ=−πμ0aIejωt∫0∞∫0aB2B1J1(ua)e−2udurJ0(ur) dr du(96)\Delta\Phi=-\pi\mu_0aIe^{\mathrm{j}\omega t}\int_0^\infty\int_0^a \frac{B_2}{B_1}J_1(ua)e^{-2ud}urJ_0(ur)\,dr\,du \tag*{(96)}

The evaluation of the inner integral results in [13]:

∫0aurJ0(ur) dr=aJ1(ua)(97)\int_{0}^{a} urJ_{0}(ur)\,\mathrm{d}r = aJ_{1}(ua) \tag*{(97)}

Thus, Eq. (96) can be written in following form:

ΔΦ=−πμ0a2ejωt∫0∞B2B1e−2udJ12(ua) du(98)\Delta\Phi= -\pi\mu_{0}a^{2}e^{j\omega t}\int_{0}^{\infty}\frac{B_{2}}{B_{1}}e^{-2ud}J_{1}^{2}(ua)\,\mathrm{d}u \tag*{(98)}

Due to the change of the magnetic flux, a voltage ΔU\Delta U is induced resulting in

ΔU=dΔΦdt=jωΔΦ.(99)\Delta U = \frac{\mathrm{d}\Delta\Phi}{\mathrm{d}t} = j\omega\Delta\Phi. \tag*{(99)}

Insertion of Eq. (98) into Eq. (99) yields the impedance change ΔZ\Delta Z:

ΔU(t)Jejωt=ΔZ=ΔR+jωΔL=−jωπμ0a2∫0∞B2B1e−2udJ12(ua) du(100)\frac{\Delta U(t)}{Je^{j\omega t}} = \Delta Z = \Delta R + j\omega\Delta L = -j\omega\pi\mu_{0}a^{2}\int_{0}^{\infty}\frac{B_{2}}{B_{1}}e^{-2ud}J_{1}^{2}(ua)\,\mathrm{d}u \tag*{(100)}

The inductance of an idealized, free circular loop with small wire radius rwr_{\mathrm{w}} compared to the loop radius aa can be represented according to [7]:

L0=πaμ02(101)L_{0} = \frac{\pi a\mu_{0}}{2} \tag*{(101)}

Thus, from Eq. (100) follows

ΔLL0+ΔRjωL0=−2a∫0∞B2B1e−2udJ12(ua) du.(102)\frac{\Delta L}{L_{0}}+\frac{\Delta R}{j\omega L_{0}}=-2a\int_{0}^{\infty}\frac{B_{2}}{B_{1}}e^{-2ud}J_{1}^{2}(ua)\,\mathrm{d}u. \tag*{(102)}

Introducing the dimensionless variable

z∗=2ud,(103)z^{*}=2ud, \tag*{(103)}

(102) can be written as

ΔLL0+ΔRjωL0=−ad∫0∞B2B1e−z∗J12(az∗2d) dz∗.(104)\frac{\Delta L}{L_{0}}+\frac{\Delta R}{j\omega L_{0}}=-\frac{a}{d}\int_{0}^{\infty}\frac{B_{2}}{B_{1}}e^{-z^{*}}J_{1}^{2}\left(\frac{az^{*}}{2d}\right)\,\mathrm{d}z^{*}. \tag*{(104)}

Comparing the left side of Eq. (104) with the right side gives evidence, that the quotient of both integration constants B1B_{1} and B2B_{2} has to be formulated as a complex number

B1B2=α(z∗)+jβ(z∗).(105)\frac{B_{1}}{B_{2}}=\alpha(z^{*})+j\beta(z^{*}). \tag*{(105)}

In order to calculate the real part α(z∗)\alpha(z^{*}) and the imaginary part β(z∗)\beta(z^{*}), a representation of the complex root 1+jk\sqrt{1+jk} in Eq. (90) is needed as a complex number by means of the following relationship [8]:

21+jk=λ+jν(106)2\sqrt{1+jk}=\lambda+j\nu \tag*{(106)}

Since the representation of the quotient in Eq. (90) as a complex number according to (105) comes along with an enormous mathematical calculation complexity, the software package Mathematica was used, in order to ease calculation significantly. Furthermore, the relative inductance change in Eq. (104) is of interest, thus a representation of β(z∗)\beta(z^{*}) in Eq. (105) is set aside.

In combination with Eq. (90), Eq. (105) and Eq. (106), the fundamentals for the calculation of the relative inductance change of a circular loop in presence of a conductive layer are finally achieved:

ΔLL0=−ad∫0∞e−z∗J12(az∗2d)α(z∗) dz∗(107)\frac{\Delta L}{L_0}=-\frac{a}{d}\int_{0}^{\infty}e^{-z^*}J_1^2\left(\frac{az^*}{2d}\right)\alpha(z^*)\,\mathrm{d}z^* \tag*{(107)}

where

α(z∗)=−kD[kcosh⁡(λhz∗2d)+νsinh⁡(λhz∗2d)]+kD[kcos⁡(νhz∗2d)+λsin⁡(νhz∗2d)](108)\alpha(z^*)=-\frac{k}{D}\left[k\cosh\left(\frac{\lambda hz^*}{2d}\right)+\nu\sinh\left(\frac{\lambda hz^*}{2d}\right)\right]+\frac{k}{D}\left[k\cos\left(\frac{\nu hz^*}{2d}\right)+\lambda\sin\left(\frac{\nu hz^*}{2d}\right)\right] \tag*{(108)}

with

D=λ2(1+λ24)cosh⁡(λhz∗2d)+λ3sinh⁡(λhz∗2d)+ν2(1−ν24)cos⁡(νhz∗2d)+ν3sin⁡(νhz∗2d)(109)D=\lambda^2\left(1+\frac{\lambda^2}{4}\right)\cosh\left(\frac{\lambda hz^*}{2d}\right)+\lambda^3\sinh\left(\frac{\lambda hz^*}{2d}\right)+\nu^2\left(1-\frac{\nu^2}{4}\right)\cos\left(\frac{\nu hz^*}{2d}\right)+\nu^3\sin\left(\frac{\nu hz^*}{2d}\right) \tag*{(109)}
λ22=1+k2+1,ν22=1+k2−1(110)\frac{\lambda^2}{2}=\sqrt{1+k^2}+1,\qquad\frac{\nu^2}{2}=\sqrt{1+k^2}-1 \tag*{(110)}

and

k=8πd2fμ0κ(z∗)2.(111)k=\frac{8\pi d^2 f\mu_0\kappa}{(z^*)^2}. \tag*{(111)}

It should be noted, that Eq. (107) is not solvable in closed form analysis, thus a numeric integration has to be considered.

Measurement Setups and Results

Relative Inductance Change vs. Tip Deflection

The relative inductance change of the sensing coil in presence of a conductive Cu-layer applied to the bender’s tip is experimentally determined as a function of the distance zz. The measurement results are compared with the results of the analytical calculations based on the fundamental Eq. (107).

The determination of the relative inductance change of the sensing coil with respect to the conductive Cu-layer is realized with the measurement setup shown in Figure 7.

Measurement setup for the experimental determination of the relative inductance change

Figure 7. Measurement setup for the experimental determination of the relative inductance change of the sensing coil dependent on the tip deflection ξ\xi of a piezoceramic bending actuator

Since the geometry of the arrangement plays a fundamental role concerning the analytical calculations, the circle sector sketched in Figure 7 is represented in higher magnification in Figure 8 showing the non-deflection and deflection state of the piezoelectric bending actuator.

Geometrical dimensions of the sensor-actuator-system

Figure 8. Geometrical dimensions of the sensor-actuator-system: (a) Non-deflection state. (b) Deflection state of the piezoceramic bending actuator.

Here, z0z_0 denotes the maximum distance between the upper side of the Cu-layer and the central position of the sensing coil for the non-deflection state of the bending actuator, zz denotes the distance between the upper side of the Cu-layer and the central position of the sensing coil for the deflection state of the bending actuator, ξ~max⁡\tilde{\xi}_{\max} corresponds to the maximum deflection of the bending actuator, bb corresponds to the distance between the front edges of the coil and the ceramic carrier, aa denotes the coil radius, ll corresponds to the coil length and daird_{\mathrm{air}} denotes the air gap between ceramic carrier and Cu-layer at maximum deflection. The physical dimensions of the quantities ξ~max⁡\tilde{\xi}_{\max}, bb, aa, ll and daird_{\mathrm{air}} being necessary for the analytical calculations of the relative inductance change of the sensing coil in presence of the Cu-layer are listed in Table 1.

ξ~max⁡\tilde{\xi}_{\max} / μm\mu\mathrm{m}bb / μm\mu\mathrm{m}aa / μm\mu\mathrm{m}ll / μm\mu\mathrm{m}daird_{\mathrm{air}} / μm\mu\mathrm{m}
329.6341.2513.0600.015.0

Table 1. Relevant Geometrical Quantities

Taking Figure 8 into consideration, the following correlation can be formulated for the deflection state of the bending actuator:

ξ~max⁡+dair+b+l2=z0(112)\tilde{\xi}_{\max} + d_{\mathrm{air}} + b + \frac{l}{2} = z_0 \tag*{(112)}

Furthermore, for an arbitrary deflection 0<ξ~<ξ~max⁡0 < \tilde{\xi} < \tilde{\xi}_{\max}, it can be written

ξ~+z=z0,(113)\tilde{\xi} + z = z_0, \tag*{(113)}

thus, the distance zz between Cu-layer and central position of the sensing coil can be calculated by insertion of Eq. (113) into Eq. (112):

z=ξ~max⁡+dair+b+l2−ξ~(114)z = \tilde{\xi}_{\max} + d_{\mathrm{air}} + b + \frac{l}{2} - \tilde{\xi} \tag*{(114)}

Taking the Eqs. (107)–(111) into consideration, the relative inductance change is analytically calculated. The variable dd in the Eqs. (107)–(109) and (111) has to be replaced by the variable zz in accordance with Eq. (114).

The starting point for the experimental characterization of the relative inductance change is represented by following equation defined already in Eq. (25):

ΔL1L1=1−(f1fe(z))2(115)\frac{\Delta L_1}{L_1} = 1 - \left(\frac{f_1}{f_e(z)}\right)^2 \tag*{(115)}

Equation (115) shows, that both, the knowledge of frequency f1f_1 of the uninfluenced coil (z→∞z \to\infty) and frequency fe(z)f_e(z) of the coil affected by the Cu-layer in distance zz is necessary. The frequency measurements concerning f1f_1 and f1(z)f_1(z) are achieved with an oscilloscope. Since the distance zz is directly correlated with the deflection ξ\xi of the bending actuator with respect to Eq. (114), the relative inductance change of the sensing coil can be represented as a function of the deflection ξ\xi of the bending actuator. Figure 9 shows the experimentally determined and analytically calculated relative inductance change of the sensor-actuator-system as a function of the tip deflection ξ\xi.

Relative inductance change of the sensing coil as a function of the actuator’s tip deflection

Figure 9. Relative inductance change of the sensing coil as a function of the actuator’s tip deflection ξ\xi.

Tip Deflection vs. Applied Driving Voltage

Since it is also an aim to detect the hysteresis of the piezoelectric bending actuator by means of the integrated proximity sensor, the tip deflection has been measured in accordance with the measurement setup shown in Figure 10.

Measurement setup for tip deflection measurement of a piezoceramic bending actuator by means of an inductive proximity sensor

Figure 10. Measurement setup for tip deflection measurement of a piezoceramic bending actuator by means of an inductive proximity sensor.

The amplifier stage following the function generator applies a sinusoidal voltage VpiezoV_{\mathrm{piezo}} with the frequency f=200 mHzf = 200\,\mathrm{mHz} to the piezoceramic bending actuator resulting in a bending movement of the cantilever beam. Thus, the distance between the copper layer and the sensing coil decreases and increases and the deflection ξ\xi of the bending actuator is transformed to a frequency signal foutf_{\mathrm{out}} by the ASIC. In a next step, the frequency signal is converted to a voltage signal Vf/VV_{f/V} by a frequency-to-voltage converter and afterwards read in by an I/O board. The deflection measurement always verified by a high precision laser deflection measurement system provides a comparison and bench mark for the inductive proximity sensor in combination with the frequency-to-voltage converter [14]. Figure 11 shows the tip deflection ξ\xi versus the electric field EE (and thus the applied voltage VpiezoV_{\mathrm{piezo}}). The measurement results show the ability of the inductive proximity sensor in combination with the appropriate sensor electronics to detect the hysteresis being typical for piezoceramic bending actuators.

Beam deflection and inductive sensor signal versus applied electric field

Figure 11. Beam deflection ξ\xi and inductive sensor signal ξind\xi_{\mathrm{ind}} showing the deflection hysteresis versus applied electric field EE

Deflection Measurement for Energy Harvesting Purposes

Measurement of the deflection ξ\xi of a cantilever bending actuator allows to derive the amount of power dissipation for energy harvesting applications. Piezoceramic bending actuators can be used as kinetic energy harvesters and are modeled as second-order spring mass damper system in a simplified approach, see Figure 12.

Simplified model of a kinetic energy harvester

Figure 12. Simplified model of a kinetic energy harvester [15].

Further simplification is necessary to derive the governing equation for displacement of the amplitude of the system: it is assumed, that the mass of the excitation source is much larger than seismic mass mm and that the excitation source is practically not damped by the energy harvester. Thus, the excitation source is assumed to provide infinite power. An external vibration which is assumed to exert a sinusoidal force on the harvester frame, causes the frame to move harmonically with

y(t)=y^sin⁡(ωt+φy),(116)y(t) = \hat{y}\sin(\omega t + \varphi_y), \tag*{(116)}

where y^\hat{y} indicates the amplitude of the frame motion, and ω\omega denotes the angular vibration frequency. The relative movement of the seismic mass mm with respect to the frame is given by

ξ(t)=ξ^sin⁡(ωt+φξ),(117)\xi(t)=\hat{\xi}\sin(\omega t+\varphi_{\xi}), \tag*{(117)}

where ξ\xi indicates the amplitude of the mass motion and thus the bender’s tip deflection to be measured with the inductive proximity sensor. Since both, the frame motion and the motion of mass represent harmonic quantities, the Eqs. (116) and (117) can be expressed by complex amplitudes according to

y‾=y^ejφy(118)\underline{y}=\hat{y}e^{j\varphi_y} \tag*{(118)}

and

ξ‾=ξ^ejφξ.(119)\underline{\xi}=\hat{\xi}e^{j\varphi_\xi}. \tag*{(119)}

Using complex amplitudes, the model of the kinetic energy harvester shown in Figure 12 can be transformed into a mechanical scheme, see Figure 13a. Due to electromechanical feedback, the transducer exerts a restoring force FeF_{\mathrm{e}} on the seismic mass if an interface circuit is connected, causing additional electrical damping ded_{\mathrm{e}}. The sum of the mechanical damping dd and the electrical damping ded_{\mathrm{e}} is defined by the quantity d~\tilde{d}, see Figure 13b.

Mechanical schemes of a kinetic energy harvester

Figure 13. Mechanical scheme of a kinetic energy harvester: (a) With additional electrical damping ded_{\mathrm{e}} caused by the connected interface circuit. (b) Equivalent damping d~\tilde{d} as sum of the mechanical damping dd and the electrical damping ded_{\mathrm{e}}.

In a next step, the mechanical scheme shown in Figure 13b is transferred to the equivalent circuit representation according to Figure 14. Here a mechanical force is represented as an electric current, and a mechanical velocity can be replaced as an electrical voltage. The mass is represented as a capacitor with the value mm, the spring is modelled as an inductor with the value cc (spring compliance) and the sum of the mechanical and the electrical dampings is described by the resistor d~\tilde{d}. The voltage source models the external vibration.

Equivalent circuit representation of a kinetic energy harvester

Figure 14. Equivalent circuit representation of a kinetic energy harvester.

Taking the mechanical admittances h1h_1 and h2h_2 in Figure 14 into account, the ratio between the bender’s tip deflection ξ‾\underline{\xi} and the movement y‾\underline{y} of the frame results in:

v2v0=jωξ‾jωy‾=h2h1+h2=1+jωω01Q1−(ωω0)2+jωω01Q(120)\frac{v_2}{v_0}=\frac{j\omega\underline{\xi}}{j\omega\underline{y}}=\frac{h_2}{h_1+h_2}=\frac{1+j\frac{\omega}{\omega_0}\frac{1}{Q}}{1-\left(\frac{\omega}{\omega_0}\right)^2+j\frac{\omega}{\omega_0}\frac{1}{Q}} \tag*{(120)}

with the resonance frequency

ω0=1mc(121)\omega_0 = \frac{1}{\sqrt{mc}} \tag*{(121)}

and the quality factor

Q=1ω0cd~(122)Q = \frac{1}{\omega_0 c \tilde{d}} \tag*{(122)}

The displacement amplitude of the seismic mass mm can be written as:

ξ^(ω)=1+(ωω01Q)2[1−(ωω0)2]2+(ωω01Q)2y^(ω)(123)\hat{\xi}(\omega) = \frac{\sqrt{1+\left(\frac{\omega}{\omega_0}\frac{1}{Q}\right)^2}}{\sqrt{\left[1-\left(\frac{\omega}{\omega_0}\right)^2\right]^2+\left(\frac{\omega}{\omega_0}\frac{1}{Q}\right)^2}}\hat{y}(\omega) \tag*{(123)}

Thus, the amplitude y^\hat{y} of the frame motion can be determined by measuring the bender’s tip deflection ξ^\hat{\xi}.

In order to determine the power dissipated in the transducer, i.e. in the resistor ded_e, Figure 15 is considered.

Determination of the power dissipated in the transducer

Figure 15. Determination of the power dissipated in the transducer.

It can be written:

P=12F1v1∗=12dev1v1∗=12de∣v1∣2(124)P = \frac{1}{2}F_1v_1^* = \frac{1}{2}d_ev_1v_1^* = \frac{1}{2}d_e\lvert v_1\rvert^2 \tag*{(124)}

The velocity v1v_1 is gained by the the velocities of the frame an the bender’s tip and thus by the amplitudes of the frame motion and the tip deflection:

v1=v0−v2=jω(y^−ξ^)(125)v_1 = v_0-v_2 = \mathrm{j}\omega\left(\hat{y}-\hat{\xi}\right) \tag*{(125)}

Since the amplitude of the frame motion can be determined by means of measuring the tip deflection according to Eq. (123), also the quantity v1v_1 and thus the power dissipated in the transducer according to Eq. (124) can be determined.

Conclusion

In this paper, we focused on the electrodynamics of a non-contact inductive proximity sensor for high-accuracy tip deflection measurements of piezoelectric bending actuators. The sensor principle itself is based on eddy current effects, offering the possibility of sensor integration in smallest spaces in combination with a high-accuracy electronic circuit. In order to determine the relative change of the inductance as a function of the beam bender’s tip deflection in an analytical way, an electrodynamic approach was formulated verifying the experimental measurement results. Besides the ability to detect the hysteresis, which represents a typical characteristic of piezoceramic bending actuators, the measurement of the displacement via a non-contact inductive sensor system has also the potential to directly evaluate the possible amount of energy which can be harvested from a piezoelectric energy harvester. In future, optimization of material and mechanical shape may be investigated and instantly evaluated in means of performance by measurement of the deflection and the external equivalent electrical parameters.

References

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