DocumentCode :
3096009
Title :
Fuzzy based direct torque control of PMSM drive using an Extended Kalman Filter
Author :
Liu, Ying-pei ; Wan, Jian-ru ; Yuan, Chen-hu ; Li, Guang-ye
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
Volume :
2
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
647
Lastpage :
651
Abstract :
There are big ripples on current and flux linkage and electromagnet torque under traditional direct torque control (DTC) on motor drive system. To solve these problems, fuzzy controller is designed to instead traditional hysteretic comparator, and zero voltage vectors are used to further reduce ripples. Rotor speed is estimated online by extended Kalman filter (EKF) algorithm. Speed sensorless DTC permanent magnet synchronous motor (PMSM) drive is realized. Rapid torque response and strong robustness of DTC are maintained, and the ripples on flux linkage and torque are greatly reduced. Meanwhile, system is robust to motor parameters and load disturbance. The system dynamic and static performances are dramatically improved. The simulation results have verified the feasibility and effectiveness of this method.
Keywords :
Kalman filters; control system synthesis; fuzzy control; machine vector control; permanent magnet motors; stability; synchronous motor drives; torque control; velocity control; PMSM drive; current ripple reduction; direct torque control; dynamic performance; electromagnet torque; extended Kalman filter; flux linkage; fuzzy controller design; load disturbance; motor drive system; robustness; rotor speed estimation; speed sensorless DTC permanent magnet synchronous motor drive; static performance; torque response; zero voltage vectors; Couplings; Electromagnets; Fuzzy control; Hysteresis; Motor drives; Permanent magnet motors; Robustness; Sensorless control; Torque control; Voltage control; DTC; EKF; Fuzzy control; PMSM;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
Type :
conf
DOI :
10.1109/ICMLC.2009.5212429
Filename :
5212429
Link To Document :
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