
	Journal of Applied Sciences
	Year: 2007 \| Volume: 7 \| Issue: 24 \| Page No.: 4001-4006 DOI: 10.3923/jas.2007.4001.4006

GA-Based Optimization of PI Speed Controller Coefficients for ANN-Modelled Vector Controlled Induction Motor

Seydi Vakkas Ustun

Abstract: This study proposes a new approach to indirect vector controlled induction motor drives. Induction motor drives for variable speed have many common industrial applications. An application of Artificial Neural Network (ANN) and genetic algorithms on vector control are carried out using space vector pulse width modulation in this study. Proportional plus derivative (PI) controller is used to control speed of induction motor. In this study, optimization of PI coefficients in vector control is carried out by ANN-Genetic. These controllers are applied to drive system with 0.55 kW induction motor. A Digital Signal Processor Controller (dsPIC30F6010) was used to carry out control applications. It is suitable to control induction motor as a soft starter and speed adjustment in compressors, blowers, fans, pumps and many other applications.

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How to cite this article:

Seydi Vakkas Ustun , 2007. GA-Based Optimization of PI Speed Controller Coefficients for ANN-Modelled Vector Controlled Induction Motor. Journal of Applied Sciences, 7: 4001-4006.

DOI: 10.3923/jas.2007.4001.4006

URL: https://scialert.net/abstract/?doi=jas.2007.4001.4006

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