Impulse Engine Ignition Algorithm Based on Genetic Particle Swarm Optimization

摘要：

　　The Concerning the problem of near space target intercepting,double-goal optimization model is established in order to maximize the response pace and to minimize the engine consumption at the same time.Impulse engine ignition algorithm based on Genetic Particle Swarm Optimization is presented.The global optimal solution of the optimal problem could be obtained fast by this algorithm.Simulation results indicate that the Ignition control algorithm can obtain high control precision with low engine consumption.

关键词： Kinetic Interceptor Composite Control Ignition Control Algorithm

作者: Xiaolong Liang Zhonghai Yin Yali Wang Qiang Sun

作者单位: Air Traffic Control and Navigation College,Air Force Engineering University, Xian, China Science College, Air Force Engineering University, Xian, China

会议类型: 国际会议

会议名称: 4th international Conference,ICSI2013(第4届群体智能国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 35-43

在线出版日期: 2013-06-12（万方平台首次上网日期，不代表论文的发表时间）