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

Volume

4

fYear

2009

fDate

7-8 Nov. 2009

Firstpage

129

Lastpage

132

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/AICI.2009.269

Filename

5376405