Title :
Direct torque control system for induction motors with fuzzy speed PI regulator
Author :
Yang, Jia-qiang ; Huang, Jin
Author_Institution :
Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China
Abstract :
Traditional direct torque control system of induction motor introduces conventional PI regulator in speed loop, it is proved that the low precision of the speed regulator debases the performance of the whole system. This paper establishes a fuzzy speed PI regulator, which applies the principles and method of fuzzy logic to adjust the proportional coefficient k p and integral coefficient k 1 of the PI regulator on-line, and finally get the system to adapt to different speed variations. The proposed method is implemented with a single board microcomputer that uses TMS320LF2407A DSP. The experimental results show that the fuzzy speed regulator can ensure swift speed response, small overshooting, and high steady speed precision both in high and low speed. Additionally, the proposed regulator improves the observation precision of the stator flux and enhances the robustness of the whole system.
Keywords :
PI control; controllers; fuzzy control; fuzzy logic; induction motors; torque control; TMS320LF2407A DSP; direct torque control system; fuzzy control; fuzzy logic; fuzzy speed PI regulator; induction motor; single board microcomputer; stator flux; Digital signal processing; Fuzzy control; Fuzzy logic; Fuzzy systems; Induction motors; Microcomputers; Regulators; Robustness; Stators; Torque control; PI regulator; direct torque control (DTC); fuzzy control; induction motor;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527049