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OPTIMAL DESIGN OF A BLDC MOTOR BY GENETIC ALGORITHM

OTHMAN, AZRUL HISHAM (2007) OPTIMAL DESIGN OF A BLDC MOTOR BY GENETIC ALGORITHM. Universiti Teknologi PETRONAS. (Unpublished)

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Abstract

Brushless DC (BLDC) motors are widely used in many applications in the industry and as such, the design of the motor and its control circuits are very important. BLDC motor is a permanent magnet motor with electronic commutation. The design procedures of these motors are much different from that of traditional motors. The project report describes an optimal design of Brushless DC (BLDC) motor using Genetic Algorithm (GA) and Simulated Annealing (SA). A constrained optimization on the objective function is performed and optimal parameters are derived. The resulting effects of varying GA parameters such as population size, number of generations, and the amount of mutation and crossover fraction, are also presented for single and multiobjective functions. In the case of SA technique, the effect of varying number of iterations on the objective function is analyzed. The design and analysis of the motor are performed using software tools within the C/C++ programming environment. The optimal design parameters of the motor obtained by GA are compared with those obtained by SA technique. Keyword: Brushless DC motor, genetic algorithm and simulated annealing.

Item Type: Final Year Project
Academic Subject : Academic Department - Electrical And Electronics - Pervasisve Systems - Digital Electronics - Design
Subject: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Engineering > Electrical and Electronic
Depositing User: Users 2053 not found.
Date Deposited: 24 Oct 2013 09:48
Last Modified: 25 Jan 2017 09:45
URI: http://utpedia.utp.edu.my/id/eprint/9588

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