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Optimization Design Of Rare Earth Permanent Magnet Synchronous Motors

Posted on:2009-03-08Degree:MasterType:Thesis
Country:ChinaCandidate:X FangFull Text:PDF
GTID:2132360242991975Subject:Detection Technology and Automation
Abstract/Summary:PDF Full Text Request
Rare earth permanent magnet synchronous motors(REPMSM) have brilliant market future with features of high density, excellent efficiency, low operation cost, efficiency of conserving energy and good reliability. How to meet a motor's technical requirement and reduce cost is a target of designers and enterprises. According to characters of REPMSM, this paper aims at optimization design and developing a CAD system for REPMSM.The actuality and development of electric machine CAD technique and optimization design are introduced. The performance peculiarity and design method of REPMSM are analyzed. Some key problems are discussed including establishing a motor mathematical model, choosing an optimization algorithm, disposal of discrete variables and interface software part between motor design computing program and optimization program, and so on. A genetic algorithm(GA) is applied to optimization design of REPMSM. The result of an optimization example reveals that GA is a wise choice to optimization design of REPMSM.A CAD system of REPMSM is developed by Borland C++ Builder 6, which can run on the platform of Windows. The CAD system based on engineering database is developed according to software engineering ideas of modularization and integration. The software gathers the function of analysis design, optimization design and some aided function forming into a whole motor CAD software. The paper introduces the function of every part of the CAD system. How database technique is applied to this CAD software is stated. The data storage and fetch with automatic input and output file formed are realized in the system by database management system. The result of computing instances shows that the CAD system can achieve the goal to reduce product cost, improve product quality and shorten period of development.
Keywords/Search Tags:REPMSM, optimization design, CAD, genetic algorithm
PDF Full Text Request
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