Title :
Sensorless vector control of induction motors based on online GA tuning PI controllers
Author :
Feng, Lin ; Hongtao, Zheng ; Qiwen, Yang
Author_Institution :
Sch. of Electr. Eng., Zhejiang Univ., Hangzhou, China
Abstract :
This paper presents an online genetic tuning digital PI controller for the sensorless speed vector control of induction motor drive system. Use of the allied genetic algorithm to optimize the online PIs control parameters, produced desirable control effects. The simulation results show that the system has a strong robust to the parameter variation and is insensitive to the load disturbance.
Keywords :
PI control; digital control; genetic algorithms; induction motor drives; machine vector control; robust control; velocity control; PI control parameters; genetic algorithm; induction motor drive system; load disturbance; online GA tuning PI controllers; parameter variation; sensorless vector control; Control systems; Equations; Genetic algorithms; Induction motor drives; Induction motors; Machine vector control; Robustness; Rotors; Sensorless control; Voltage;
Conference_Titel :
Power Electronics and Drive Systems, 2003. PEDS 2003. The Fifth International Conference on
Print_ISBN :
0-7803-7885-7
DOI :
10.1109/PEDS.2003.1282759
