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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS)
Saleh, Ameer Lateef
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Control & Systems Engineering Electrical & Electronics Engineering

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Speed performance evaluation of BLDC motor based on dynamic wavelet neural network and PSO algorithm Obed, Adel Ahmed; Saleh, Ameer Lateef; Kadhim, Abbas Kareem
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 10, No 4: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (377.947 KB) | DOI: 10.11591/ijpeds.v10.i4.pp1742-1750

Abstract

In this paper, several methods are developed to control the brushless DC (BLDC) motor speed. Since it is difficult to get a good showing by utilizing classical PID controller, the Dynamic Wavelet Neural Network (DWNN) is the proposed work in this paper, with parallel PID controller to obtain an novel controller named DWNN-PID controller. It collects the artificial neural ability of its networks for imparting from motor of BLDC with drive system and the ability of identification for the wavelet decomposition and control of the dynamic system furthermore to have ability for adapting and self-learning.  The suggested controller method is utilizing to control the speed of BLDC motor of which supply a better showing than utilizing classical controllers with a wide range of control. The proposed controller parameters are matched continuously using Particle Swarm Optimization (PSO) algorithm. The simulation results based on proposed DWNN-PID controller demonstrate a superior in the stability and performance compared at utilizing classical WNN-PID and conventional PID controllers. The simulation results are accomplished using Matlab/Simulink. It shows that the proposed control scheme has a superior performance.
Co-Authors Kadhim, Abbas Kareem Obed, Adel Ahmed