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Hardware Design and Simulation of Reduced-Order Extended Kalman Filter Estimator and Speed Fuzzy Controller for Sensorless PMSM Drives

Nguyen Vu Quynh1, Ying-Shieh Kung1, Chung-Chun Huang 2, and Liang-Chiao Huang 2
1. Electrical Department of Southern Taiwan University of Science and Technology, Tainan, Taiwan
2. Green Energy and Environment Research Laboratories, Industrial Technology Research Institute, Hsinchu, Taiwan
Abstract—The design and co-simulation of a sensorless control for permanent magnet synchronous motor (PMSM) drive is presented in this paper. Firstly, the block diagram of vector control and fuzzy algorithm are designed. Secondly, a flux position and speed of rotor are estimated through the reduced-order extended kalman filter (EKF). Thirdly, the very-high-speed IC hardware description language (VHDL) is adopted to describe the behavior of all functions of the system. Fourthly, the simulation work is performed by MATLAB/Simulink and ModelSim co-simulation mode. The PMSM, inverter and speed command are performed in Simulink and the sensorless speed control of PMSM drive is executed in ModelSim. Finally, the comparison results between PI and Fuzzy controller validate the effectiveness of the sensorless PMSM speed control system. It has fast reacting speed and good dynamic performance. 

Index Terms—simulink/modelsim co-simulation, reduced-order extended kalman filter, sensorless speed control; fuzzy controller; VHDl

Cite: Nguyen Vu Quynh, Ying-Shieh Kung, Chung-Chun Huang, and Liang-Chiao Huang, "Hardware Design and Simulation of Reduced-Order Extended Kalman Filter Estimator and Speed Fuzzy Controller for Sensorless PMSM Drives," Journal of Automation and Control Engineering, Vol.1, No.3, pp. 245-249, Sep. 2013. doi: 10.12720/joace.1.3.245-249
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