Title :
Application of allied genetic algorithms in sensorless speed adjustment control for induction motor drive system
Author :
Lin, Feng ; Yang, Qi-Wen
Author_Institution :
Coll. of Electr. Eng., Zhejiang Univ., China
Abstract :
This paper presents a genetic tuning digital PI controller for the sensorless speed vector control of induction motor drive system. In order to prevent premature convergence we introduce the allied strategy of human beings into GAs, and present a parallel genetic algorithm based on the allied strategy (PGAAS). Based on the designed control system the system is simulated. The simulation results show that the system is strongly robust to the parameter variation and is insensitive to the load disturbance
Keywords :
digital control; genetic algorithms; induction motor drives; robust control; two-term control; velocity control; allied genetic algorithms; genetic tuning digital PI controller; induction motor drive system; load disturbance; parallel genetic algorithm; parameter variation; sensorless speed adjustment control; strongly robust system; Control system synthesis; Control systems; Convergence; Digital control; Genetic algorithms; Humans; Induction motor drives; Machine vector control; Robustness; Sensorless control;
Conference_Titel :
Electronics, Circuits and Systems, 2000. ICECS 2000. The 7th IEEE International Conference on
Conference_Location :
Jounieh
Print_ISBN :
0-7803-6542-9
DOI :
10.1109/ICECS.2000.913040
