摘要
文中采用一种改进遗传算法设计最优交会控制器。建立了自动交会线性二次型最优控制模型。为了提高遗传算法的性能,设计了多操作变异等改进措施。仿真结果表明,改进遗传算法可以成功地完成18个参数交会控制器的最优设计,优于Matlab工具箱和经典遗传算法。
An improved Genetic Algorithm(GA) is used to so design the optimal controller for rendezvous in this paper. The linear quadratic optimal control model for automatic rendezvous is constructed. In order to improve the performance of GA, some improvement measures including multiple mutation operators are proposed. The simulation results show that the improved GA can successfully complete the optimization design of the controller for rendezvous with 18 parameters, and its performance are fairly superior to Matlab and the classical GA.
出处
《弹箭与制导学报》
CSCD
北大核心
2004年第3期14-17,共4页
Journal of Projectiles,Rockets,Missiles and Guidance
基金
"863"课题(2002AA001006)
关键词
遗传算法
交会控制器
设计
线性二次型最优控制
improved genetic algorithm
controller for rendezvous
linear-quadratic optimal control
