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

Volume

2

fYear

2000

fDate

2000

Firstpage

979

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits and Systems, 2000. ICECS 2000. The 7th IEEE International Conference on

Conference_Location

Jounieh

Print_ISBN

0-7803-6542-9

Type

conf

DOI

10.1109/ICECS.2000.913040

Filename

913040