ModelSim/Simulink co-simulation of sensorless PMSM speed control system with EKF estimator and adaptive fuzzy controller

Abstract

Based on the extended Kalman filter (EKF) estimator and adaptive fuzzy controller (AFC), the design of a sensorless speed control IP (Intellectual Property) for PMSM (Permanent Magnet Synchronous Motor) drive is presented in this paper. Firstly, the mathematical model of PMSM is derived, and the vector control is built up. Secondly, the rotor flux angle (FA) and rotor speed, which are estimated by using EKF estimator, is described. These estimated values are feed-backed to the current loop for vector control and to the speed loop for speed control. In additional, to cope with the uncertainty of system parameter variation, AFC is applied. The parameters of fuzzy rule will be adjusted according to the minimum performance index requirement which is based on the steepest descend method. Thirdly, the Very-High-Speed IC Hardware Description Language (VHDL) is adopted to describe the behavior of the sensorless speed control IP which includes the current vector controller, EKF, AFC, etc. Finally, to evaluate the effectiveness and correctness of the proposed system, a co-simulation work performed by Simulink and Modelsim is conducted and validated the performance of the proposed sensorless speed control IP.