Resistance Estimation in Solenoid Actuators by Considering Different Resistances in the PWM Paths

Dülk, Ivor; Kovácsházy, Tamás

doi:10.3311/ppee.7353

Cited by 8 publications

(5 citation statements)

References 12 publications

(23 reference statements)

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“…Despite this discretization, the measured average current waveform can be still considered as the samples of the otherwise continuous signal, which is described by (10). For a simple example, the average coil current per-PWM-cycle fits a continuous exponential curve in case the inductance is constant [32][33]. By using the samples of the average current waveform, an approximation of the elements of the coefficient matrix in (22) can be calculated as in (28).…”

Section: Ieee Transactions On Industrial Electronicsmentioning

confidence: 99%

“…The methods for determining the resistance of linear solenoids (motors) can be divided into two main categories: through thermal analyses [7], [19][20], [28][29][30][31] and from an electrical model [3][4], [33][34]. In the former case, the thermal state inside the actuator is obtained; thus, the resistance of the coil can be computed.…”

Section: Introductionmentioning

confidence: 99%

“…Alternatively, the resistance of the coil of electrical machines can be estimated by using an electrical model and measuring only electrical signals, i.e., current and supply voltage [3][4], [32][33][34][35]. The advantage of this approach is that the use of complex thermal models and external sensors are avoided.…”

Section: Introductionmentioning

confidence: 99%

“…These reasons are the single phase structure, noncyclic electrical signals, less significant electromotive forces and limited stroke length [12]. For linear solenoid actuators, [3][4], [32][33] assumed a constant inductance and presented computationally effective methods for resistance estimation. In [6], it is highlighted that resistance estimation could be included in an EKF (Extended Kalman Filter) but its computation could present computational difficulties; therefore, the estimation is based on a static model.…”

Section: Introductionmentioning

confidence: 99%

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Parameter Estimation in Linear Electromagnetic Devices

Dülk

Kovácsházy

2014

IEEE Trans. Ind. Electron.

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The parameters of electrical machines can change considerably during operation due to thermal effects. Therefore, the corresponding models and the estimates of parameters can be subject to a significant bias and uncertainty, which degrade the performance of the system. In this paper, a method is developed to estimate the resistance of the coil of a linear electromagnetic actuator, i.e., of a single coil linear solenoid. In the electrical model of the solenoid actuator, the inductance depends on the current. The inductance is identified from the transient waveform of the current (step response); and an estimate of the resistance is provided by extrapolating to the steady-state of the current. Thus, the resistance can be estimated before the system reaches the steady-state. The presented method is generalized to PWM drive conditions by considering the average of the current of the coil in the successive PWM cycles. This improves the suppression of measurement noise. The developed approach is demonstrated through numerical and experimental analyses.

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Section: Ieee Transactions On Industrial Electronicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Parameter Estimation in Linear Electromagnetic Devices

Dülk

Kovácsházy

2014

IEEE Trans. Ind. Electron.

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“…Morever, most control approaches are using signals such as the coil current or voltage of solenoid to monitor the parameters; yet, the main problems in such approaches are that the detected signals are prone to interference and difcult to obtain [31]. Other works have been limited to the estimation and identication of a single solenoid parameter [32,22]. In this work, the authors have developed a new approach for the diagnosis of an EMS actuator in solenoid valve.…”

mentioning

confidence: 99%

Monitoring of solenoid parameters based on neural networks and optical fiber squeezer for solenoid valves diagnosis

Zahidi

Amrane

Azami

et al. 2021

IJECE

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As crucial parts of various engineering systems, solenoid valves (SVs) operated by electromagnetic solenoid (EMS) are of great importance and their failure may lead to cause unexpected casualties. This failure, characterized by a degradation of the performances of the SVs, could be due to a fluctuations in the EMS parameters. These fluctuations are essentially attributed to the changes in the spring constant, coefficient of friction, inductance, and the resistance of the coil. Preventive maintenance by controlling and monitoring these parameters is necessary to avoid eventual failure of these actuators. The authors propose a new methodology for the functional diagnosis of electromagnetic solenoids (EMS) used in hydraulic systems. The proposed method monitors online the electrical and mechanical parameters varying over time by using artificial neural networks algorithm coupled with an optical fiber polarization squeezer based on EMS for polarization scrambling. First, the MATLAB/Simulink model is proposed to analyze the effect of the parameters on the dynamic EMS model. The result of this simulation is used for training the neural network, then a simulation is proposed using the neural net fitting toolbox to determine the solenoid parameters (Resistance of the coil R, stiffness K and coefficient of friction B of the spring) from the coefficients of the transfer function, established from the model step response. Future work will include not only diagnosing failure modes, but also predicting the remaining life based on the results of monitoring.

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