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Information Technology Journal
Year: 2012  |  Volume: 11  |  Issue: 3  |  Page No.: 359 - 363

Optimization of Nine-point Five-state Speed Controller for Asynchronous Motor Based on Intelligent Genetic Algorithm

Chun Zhang and Biyu Zhang    

Abstract: Considering multivariable and close coupling of asynchronous motor vector control system, an intelligent control strategy named nine-point five-state controller was adopted as speed controller. The intelligent genetic algorithm (IGA for short) was applied to optimize the controller parameters, which used orthogonal experiment and intelligent mating operations to improve the optimization performance. The detailed optimization method and process were given. Simulation results have indicated that this kind of strategy can not only improve system dynamics and steady-state behavior but can also achieve relatively strong anti-disturbance performance.

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