Permanent Magnet Synchronous Motor Dynamic Modeling with State Observer-based Parameter Estimation for AC Servomotor Drive Application

Abstract

This paper presents model-based control with parameters identifies based on extended Luenberger observer of PMSM drive. To control the permanent magnet synchronous motor for high-performance operation, it is still challenging due to its nonlinear properties and unknown parameters. Therefore, to deal with this issue, nonlinear control with parametric identification can offer high-performance control. Both simulations by MATLAB/SIMULINK software and the laboratory experiments were carried out in this research. Simulation and experimental results with a small-scale SPMSM of 6-pole, 1-kW, and 3000 rpm in a laboratory corroborate the control scheme capability during a motor-driven cycle.