摘要
针对高速再入飞行器模型存在参数不确定性和量测噪声的特点,提出双回路鲁棒姿态控制律结构,利用μ综合方法进行姿态控制律设计,在设计中通过遗传算法对权函数进行优化设计,保证系统具有良好的鲁棒性能。通过横侧向鲁棒控制器的实例设计与仿真分析,验证设计方法的有效性。设计过程与仿真结果表明,该方法能有效解决高速飞行器鲁棒姿态控制律设计问题,避免了鲁棒控制器设计过程中权函数选取的繁杂工作。
In consideration of the existences of the model uncertainty and measure noise, a dual-loop atti- trade control system is proposed for high speed reentry vehicle and a robust controller design method based on genetic algorithm is presented. The weight function of the control system is optimized by using the genetic al- gorithm and the robust attitude controller is designed by using μ synthesis method. The proposed design method is used to design attitude controller for a high speed reentry vehicle, and the simulation results show that the close loop system fulfills the requirements of control characteristics and the design method is effec- tive.
出处
《航天控制》
CSCD
北大核心
2011年第4期32-36,共5页
Aerospace Control
关键词
遗传算法
鲁棒控制
Μ综合
权函数
Genetic algorithm
Robust control
μ synthesis
Weight function
