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  • 标题:Design and Optimization for a Novel 3D Flux Micro-machine used in Trajectory Correction Fuze
  • 本地全文:下载
  • 作者:Jianghai Hui ; Min Gao ; Chaowang Li
  • 期刊名称:Engineering Letters
  • 印刷版ISSN:1816-093X
  • 电子版ISSN:1816-0948
  • 出版年度:2019
  • 卷号:27
  • 期号:3
  • 页码:516-526
  • 出版社:Newswood Ltd
  • 摘要:This paper proposed a novel permanent magnet machine with 3D flux path for the trajectory correction fuze, which is used to correct the projectile’s trajectory during flight. First, the topology structure and equivalent magnetic circuit model were described, and the 3D flux path was portrayed. To conduct the torque and generated power optimization, the geometric parameters which influence the performance were found out by the relationship between the geometric parameters and performance. Second, the machine’s flux-concentrating effect and magnetic distribution were achieved. The breaking torque, load voltage and stator current were also acquired by preliminary simulation with finite element model. Based on the sample points produced by orthogonal design and the range analysis results, the three approximation models were created, from which the Kriging model was selected to represent the simulation. Third, non-dominated sorting genetic algorithm II and multi-objective particle swam optimization were adopted to optimize the breaking torque and generated power. The optimal performance and the corresponding geometric parameters were acquired after optimization by the algorithms. In addition to this, to compare the optimization results from the two optimization algorithm and verify their correctness, the breaking torque and generated power under five different speed discrepancy with respect to the projectile’s flight velocity were obtained by simulation based on the optimized machine’s model. Finally, the prototype experiment was conducted to verify the optimization method and simulation. The results indicated that the proposed machine which had been optimized can meet the performance acquirement of trajectory correction.
  • 关键词:machine; breaking torque; generated power; design of experiment; approximation model; Non-dominated sorting genetic algorithm II; multi-objective particle swam optimization
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