Robustness of Adaptive Fuzzy for PMSM Sensorless Speed Controller
Nguyen Vu Quynh1, Ying-Shieh Kung1, and
Lam Thanh Hien 2
1. Electrical Department of Southern Taiwan University of Science and Technology, Tainan, Taiwan
2. Computer Science Department of Lac Hong University, Dong Nai, Viet Nam
2. Computer Science Department of Lac Hong University, Dong Nai, Viet Nam
Abstract—This paper has presented an adaptive fuzzy controller for permanent magnet synchronous motor. A rotor speed estimation based on sliding mode observer. Space-vector pulse width modulation was used for slipping frequency vector control system. The simulation architecture of system was implemented on Modelsim and Matlab/Simulink. The algorithm controls have implemented by very high speed integrated circuit hardware description language and embedded to Simulink/Matlab for controlling. The simulation results shown that the motor’s speed has good performance and isn’t sensitive to the parameter variations. Controller integrated in an IC saves space and avoids the influence of external factors preferred as noise or temperature.
Index Terms—fpga, adaptive fuzzy controller, vhdl, modelsim, simulink, sliding mode control, co-simulation
Cite: Nguyen Vu Quynh, Ying-Shieh Kung, and Lam Thanh Hien, "Robustness of Adaptive Fuzzy for PMSM Sensorless Speed Controller," Journal of Automation and Control Engineering, Vol.1, No.3, pp. 265-269, Sep. 2013. doi: 10.12720/joace.1.3.265-269
Index Terms—fpga, adaptive fuzzy controller, vhdl, modelsim, simulink, sliding mode control, co-simulation
Cite: Nguyen Vu Quynh, Ying-Shieh Kung, and Lam Thanh Hien, "Robustness of Adaptive Fuzzy for PMSM Sensorless Speed Controller," Journal of Automation and Control Engineering, Vol.1, No.3, pp. 265-269, Sep. 2013. doi: 10.12720/joace.1.3.265-269