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Optimization of EM railgun based on orthogonal design method and harmony search algorithm

机译:基于正交设计和和谐搜索算法的电磁炮优化

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The muzzle velocity is a key index to reflect the performance of electromagnetic(EM) railgun. In order to obtain an optimal solution of muzzle velocity accurately and quickly in numerical simulation, an approach of combining orthogonal design method(ODM) and harmony search(HS) algorithm is presented. There are up to 11 factors to be considered in affecting the muzzle velocity, including eight trigger delay times of pulsed power supply (PPS), the operating voltage of PPS, the length of rail and the mass of projectile. By ODM analysis, the best level combinations of these factors are selected and the significant degree of these factors is ordered. Therefore, the varying ranges of these factors are decided and a hierarchical factor optimization model is built. The optimization model is solved by HS algorithm with the penalty function method added to satisfy process constraints, such as the peak of current is bounded under 420KA. Finally, the proposed approach and the simple HS algorithm are compared. The results indicate that, by using the proposed approach, the average of original velocity is increased by 43.53%, and the average of best velocity at last, is increased by 1.34%.
机译:枪口速度是反映电磁(EM)电磁炮性能的关键指标。为了在数值模拟中准确快速地获得炮口速度的最优解,提出了一种将正交设计法(ODM)与和声搜索(HS)算法相结合的方法。影响枪口速度的因素多达11个,包括脉冲电源(PPS)的八个触发延迟时间,PPS的工作电压,铁轨的长度和弹丸的质量。通过ODM分析,选择这些因素的最佳水平组合,并对这些因素的显着程度进行排序。因此,决定了这些因素的变化范围,并建立了层次化因素优化模型。优化模型通过HS算法求解,并加入罚函数法以满足工艺约束,例如电流峰值限制在420KA以下。最后,比较了所提出的方法和简单的HS算法。结果表明,采用本文提出的方法,原始速度的平均值提高了43.53%,最后最佳速度的平均值提高了1.34%。

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