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《China Mechanical Engineering》 2012-24
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Application of DEPSO Algorithm to Permanent Magnet Linear Motor Structure Optimization Design

Lin Jian Huang Jiacai Wang Mulan Sheng Danghong Jiangsu Key Laboratory of Advanced Numerical Control Technology, Nanjing Instutute of Technology,Nanjing,211167  
Since most of traditional algorithms were applied to optimization design of linear motor structure to reduce the force ripple,the optimization efficiency was low for the premature convergence and slowed convergence speed of traditional algorithms,and the force ripple can not be calculated accurately by analytical method because of linear motor peculiar magnetic field effect.A hybrid optimization algorithm(DEPSO) was proposed based on the combination of DE and PSO to overcome traditional algorithms limitations.Differential mutation,crossover and selection operators were employed to produce a personal best position in the process of particle evolution,the direction of particle evolution was optimized.Motor structure parameters were optimized based on combination of the FEM and DEPSO algorithm.The experimental results show that the detent peak force reduces significantly via the optimization,the proposed technique is proven to be effective for solving such problems.
【Fund】: 国家自然科学基金资助项目(61104085);; 江苏省高校自然科学基础研究项目(10KJD460001 11KJB510005)
【CateGory Index】: TM359.4
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