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基于CPSO优化的空空导弹μ综合控制器设计

鲁启东 陈欣 张民

鲁启东, 陈欣, 张民等 . 基于CPSO优化的空空导弹μ综合控制器设计[J]. 北京航空航天大学学报, 2013, 39(11): 1475-1479,1508.
引用本文: 鲁启东, 陈欣, 张民等 . 基于CPSO优化的空空导弹μ综合控制器设计[J]. 北京航空航天大学学报, 2013, 39(11): 1475-1479,1508.
Lu Qidong, Chen Xin, Zhang Minet al. μ-synthesis robust control for air-to-air missile based on dynamic acceleration constant PSO arithmetic[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(11): 1475-1479,1508. (in Chinese)
Citation: Lu Qidong, Chen Xin, Zhang Minet al. μ-synthesis robust control for air-to-air missile based on dynamic acceleration constant PSO arithmetic[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(11): 1475-1479,1508. (in Chinese)

基于CPSO优化的空空导弹μ综合控制器设计

基金项目: 飞行器自主控制技术教育部工程中心资助项目
详细信息
  • 中图分类号: V249

μ-synthesis robust control for air-to-air missile based on dynamic acceleration constant PSO arithmetic

  • 摘要: 粒子群优化算法(PSO,Particle Swarm Optimization)在空空导弹μ综合控制器参数优化中易出现早熟现象而无法获得全局最优解.针对此问题,提出一种动态加速常数的粒子群优化算法(CPSO,Constant Particle Swarm Optimization).改进算法通过对加速常数的指数形式变化,在寻优前期扩大搜索范围,在后期提高收敛效率,从而避免了寻优过程中的早熟现象.仿真结果表明,改进的CPSO优化算法具有更强的全局搜索能力,设计出的μ综合控制器具有更优的性能,满足给定的性能指标和自动设计指标,节省了大量设计时间,具有工程应用价值.

     

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出版历程
  • 收稿日期:  2012-12-11
  • 刊出日期:  2013-11-30

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