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Simulation of a variable speed brushless DC motor using neural network controller

Raja Aris, Raja Siti Nur Adiimah (2011) Simulation of a variable speed brushless DC motor using neural network controller. Masters thesis, Universiti Tun Hussein Onn Malaysia.

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Abstract

This paper presents a control scheme of a neural network for the brushless direct current (BLDC) permanent magnet motor drives. The mathematical model of BLDC motor and artificial neural network algorithm is derived. The controller is designed to tracks variations of speed references and stabilizes the output speed during load variations. The BLDC has some advantages compare to the others type of motors, however the nonlinearity of the BLDC motor dive characteristics, cause it is difficult to handle by using conventional proportional-integral-differential (PID) controller. In order to overcome this main problem, a neural network controller with online learning technique based on back propagation algorithm is developed. The effectiveness of the proposed method is verified by develop simulation model in MATLAB-Simulink program. The simulation results show that the proposed neural network controller (NNC) produce significant improvement control performance compare to the PID controller for both condition controlling speed reference variations and load disturbance variations.

Item Type: Thesis (Masters)
Subjects: T Technology > T Technology (General)
Depositing User: Normajihan Abd. Rahman
Date Deposited: 04 Apr 2012 01:04
Last Modified: 04 Apr 2012 01:04
URI: http://eprints.uthm.edu.my/id/eprint/2426
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