A Self-Sensing Method for Electromagnetic Actuators with Hysteresis Compensation

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