Title :
Optimal PI controller gains using a multi-loop multi-objective genetic algorithm in IM drives
Author :
Kojabadi, H. Madadi ; Cao, Q. ; Chang, L. ; Ghribi, M. ; Dupuis, A.
Author_Institution :
Dept. of Electr. Eng., Sahand Univ. of Technol., Tabriz
Abstract :
In this paper, a method for offline design of PI controllers is proposed. A multi-objective genetic algorithm is used to minimize the overshoot and settling time of speed responses of an induction motor drive system. The proposed method eliminates the need to specify weights for each objective. Therefore, the design process is simplified and the intervention of the designer is reduced. Both simulation and experimental results of proposed PI controller tuning method in IM drive are presented in the paper
Keywords :
PI control; genetic algorithms; induction motor drives; machine control; optimal control; induction motor drive system; multiloop multiobjective genetic algorithm; optimal PI controller gains; Algorithm design and analysis; Control systems; DC motors; Design methodology; Genetic algorithms; Induction motor drives; Induction motors; Motor drives; Niobium; Optimal control;
Conference_Titel :
Electrical and Computer Engineering, 2005. Canadian Conference on
Conference_Location :
Saskatoon, Sask.
Print_ISBN :
0-7803-8885-2
DOI :
10.1109/CCECE.2005.1556972