A Self-Sensing Method for Electromagnetic Actuators with Hysteresis Compensation

Niklas König, Yannik Carbon, Matthias Nienhaus and Emanuele Grasso
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Niklas König: Laboratory of Actuation Technology, Saarland University, 66123 Saarbrücken, Germany
Yannik Carbon: Laboratory of Actuation Technology, Saarland University, 66123 Saarbrücken, Germany
Matthias Nienhaus: Laboratory of Actuation Technology, Saarland University, 66123 Saarbrücken, Germany
Emanuele Grasso: Laboratory of Actuation Technology, Saarland University, 66123 Saarbrücken, Germany

Energies, 2021, vol. 14, issue 20, 1-19

Abstract: Self-sensing techniques are a commonly used approach for electromagnetic actuators since they allow the removal of position sensors. Thus, costs, space requirements, and system complexity of actuation systems can be reduced. A widely used parameter for self-sensing is the position-dependent incremental inductance. Nevertheless, this parameter is strongly affected by electromagnetic hysteresis, which reduces the performance of self-sensing. This work focuses on the design of a hysteresis-compensated self-sensing algorithm with low computational effort. In particular, the Integrator-Based Direct Inductance Measurement (IDIM) technique is used for the resource-efficient estimation of the incremental inductance. Since the incremental inductance exhibits a hysteresis with butterfly characteristics, it first needs to be transformed into a B-H curve-like hysteresis. Then, a modified Prandtl–Ishlinskii (MPI) approach is used for modeling this hysteretic behavior. By using a lumped magnetic circuit model, the hysteresis of the iron core can be separated from the air gap, thus allowing a hysteresis-compensated estimation of the position. Experimental studies performed on an industrial switching actuator show a significant decrease in the estimation error when the hysteresis model is considered. The chosen MPI model has a low model order and therefore allows a computationally lightweight implementation. Therefore, it is proven that the presented approach increases the accuracy of self-sensing on electromagnetic actuators with remarkable hysteresis while offering low computational effort which is an important aspect for the implementation of the technique in cost-critical applications.

Keywords: sensorless; self-sensing; hysteresis compensation; position estimation; electromagnetic actuators (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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