Rapid Trajectory Optimization Based on Migrant PSO

摘要：

This paper proposes a rapid trajectory optimization approach using a novel PSO algorithm, the Migrant Particle Swarm Optimization (Migrant PSO). Imitating the behavior of a flock of migrant birds, the Migrant PSO algorithm employs stochastic search method and adaptive linear search method respectively for PSO search spaces including both continuous space and discrete space. In the example of the minimum control energy reentry trajectory optimization for X-33 vehicle model with free terminal time, some key problems such as parameterized method are argued in detail. The simulation results indicate that the Migrant PSO algorithm proves to be able to generate a complete and optimal 3DOF reentry trajectory rapidly.

关键词： optimal control trajectory optimization migrant PSO

作者: Fuqiang Xie Yongji Wang Chuanfeng Li Dangjun Zhao

作者单位: Department of Control Science and Engineering,Key Laboratory of Ministry of Education for Image Processing and Intelligent Control,Huazhong University of Science and Technology Wuhan,430074,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 1680-1684

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）