Title :
Study of Fuzzy Control in Direct Torque Control system
Author :
Mei Baishan ; Liu Haihua ; Zhang Jinping
Author_Institution :
Coll. of Electr. Power & Autom., Shanghai Univ. of Electr. Power, Shanghai, China
Abstract :
Due to the multi-variable, strong coupling, nonlinear and time-varying characteristics of induction motor, it is not easy for direct torque control (DTC) system with traditional PID controller to get ideal performance. In order to improve the performance of Direct Torque Control system, a fuzzy PID regulator of motor speed is proposed to adjust the nonlinear control variable. According to the principle of DTC, a model of induction motor DTC system with fuzzy PID regulator is constructed and simulation is implemented. In comparison with the traditional PID regulator, the simulation shows that the fuzzy PID regulator is more effective in improving the speed response and the stability of DTC system.
Keywords :
fuzzy control; induction motors; machine control; multivariable control systems; nonlinear control systems; stability; three-term control; time-varying systems; torque control; velocity control; PID controller; direct torque control system; fuzzy control; induction motor; motor speed; multi-variable characteristics; nonlinear characteristics; stability; time-varying characteristics; Control systems; Couplings; Fuzzy control; Fuzzy systems; Induction motors; Nonlinear control systems; Regulators; Three-term control; Time varying systems; Torque control; DTC; Direct Torque Control; PID; fuzzy logic control;
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
DOI :
10.1109/AICI.2009.269
