A novel dynamic observer and torque ripple minimization via fuzzy logic for SRM drives

This paper presents a high performance switched reluctance motor (SRM) drive based on dynamic observer. The dynamic observer estimates the rotor position and speed for wide speed range. As well, observer gains online will be corrected by using fuzzy logic hybrid algorithm (FLHA) with concern of estimation errors. In addition, a fuzzy logic current compensator (FLCC) for reducing torque ripple has been presented. In the regions that torque reduces, the FLCC, inject additional current for each phase currents. This drive has been simulated with Matlab/Simulink for nonlinear model of SRM. Simulation results show that proposed drive will estimate the rotor position and speed with high precision for all speeds (near zero speeds up to rated speed). Also, FLCC minimize the torque ripple and reduce speed estimation error, too. This drive has the advantages of robustness, high reliability and excellent performance at steady state.