Performance Development of Space Vector Pulse Width Modulation for Induction Motor Drive Using Artificial Intelligence

Jamal Abd Ali; M.A. Hannan; Azah Mohamed; Hussein Shareef; Ammar Hussein Mutlag

doi:10.4028/www.scientific.net/AMM.785.146

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 785Performance Development of Space Vector Pulse...

Performance Development of Space Vector Pulse Width Modulation for Induction Motor Drive Using Artificial Intelligence

Abstract:

Space vector pulse width modulation (SVPWM) technique is an advanced computation-intensive PWM method. It is the best among all PWM techniques for three-phase induction motor (TIM) drive applications because of its superior performance characteristics. In this paper, the use of artificial neural network (ANN) based SVPWM technique avoids the computational complex used in conventional SVM implementation. An ANN scheme structure is suggested to identify and approximate the conventional SVPWM for decrease the computational problem. Moreover, proportional-integral (PI) controller tuning is achieved using a particle swarm optimization (PSO) algorithm to improve the TIM speed controller’s response performance. By designing an appropriate PSO algorithm, kp and ki of the PI speed controller parameters are tuned for TIM to attain the best parameter values.

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Periodical:

Applied Mechanics and Materials (Volume 785)

Pages:

146-150

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https://doi.org/10.4028/www.scientific.net/AMM.785.146

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Online since:

August 2015

Authors:

Jamal Abd Ali*, M.A. Hannan, Azah Mohamed, Hussein Shareef, Ammar Hussein Mutlag

Keywords:

Artificial Neural Network, Induction Motor, Particle Swarm Optimization, PI Controller, Space Vector Pulse Width Modulation

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