Genetic based self tuning speed controller for induction motor drives

Author

Oh, Won Seok ; Kim, Sol ; Cho, Kyu Min ; Yoo, Kyung Sang ; Kim, Young Tae

Author_Institution

Dept. Electr. Eng., Yuhan Univ., Pucheon, South Korea

fYear

2011

fDate

14-16 Dec. 2011

Firstpage

88

Lastpage

91

Abstract

In this paper, a genetic based self-tuning speed controller is proposed for the high-performance drives of induction motors. For a high-performance drives, nonlinear system identification of a motor drive system is required and the results of system identification could provide the controller with information regarding the load variation and parameter variation of the motor. The proposed controller can change the gains of the controller according to system conditions. The gain is composed with system parameter of drive system. For the estimation of system parameters, a genetic algorithm is used. A self-tuning controller is designed that is adequate for the speed control of the induction motor. The availability of the proposed controller is verified through MATLAB/Simulink simulations and is compared with the conventional PI controller.

Keywords

angular velocity control; genetic algorithms; induction motor drives; MATLAB/Simulink; genetic algorithm; genetic based self tuning controller; high performance drives; induction motor drives; load variation; nonlinear system identification; parameter variation; speed controller; Control systems; Genetic algorithms; Induction motors; Load management; Load modeling; Mathematical model; Torque; genetic algorithm; induction motor; speed controller; system parameter;

fLanguage

English

Publisher

ieee

Conference_Titel

Applied Superconductivity and Electromagnetic Devices (ASEMD), 2011 International Conference on

Conference_Location

Sydney, NSW

Print_ISBN

978-1-4244-7852-1

Type

conf

DOI

10.1109/ASEMD.2011.6145075

Filename

6145075