DocumentCode :
3482119
Title :
Imperialist Competitive Algorithm (ICA)-optimized PI speed control in the Indirect Field-Oriented Control of an IM drive
Author :
Razavi, Farzad ; Ghadiri, Beitollah
Author_Institution :
Electr. Eng. Dept., Azad Univ., Qazvin, Iran
fYear :
2011
fDate :
5-6 Dec. 2011
Firstpage :
445
Lastpage :
448
Abstract :
In this paper, Imperialist Competitive Algorithm (ICA) and Genetic Algorithm (GA) is applied to optimize the proportional and integral gains of PI speed controller in the Indirect Field Oriented Control (IFOC) of an Induction Motor (IM) drive. The control performance of the ICA-optimized PI speed controller and the GA-optimized PI speed controller is evaluated by analysis for various operating conditions. Simulation results show that optimizing the PI speed controller of IM through ICA is the best performance compared to GA-optimized PI speed controller of IM.
Keywords :
PI control; angular velocity control; genetic algorithms; induction motor drives; machine vector control; GA; GA-optimized PI speed controller; ICA-optimized PI speed control; IFOC; IM drive; genetic algorithm; imperialist competitive algorithm-optimized PI speed control; indirect field-oriented control; induction motor drive; Algorithm design and analysis; Genetic algorithms; Induction motors; Optimization; Simulation; Stators; Torque; Imperialist Competitive Algorithm (ICA); Indirect Field-Oriented Control (IFOC); Induction Motor (IM); PI controller;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Humanities, Science and Engineering (CHUSER), 2011 IEEE Colloquium on
Conference_Location :
Penang
Print_ISBN :
978-1-4673-0021-6
Type :
conf
DOI :
10.1109/CHUSER.2011.6163770
Filename :
6163770
Link To Document :
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