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