摘要
针对飞行控制系统性能评估的要求,提出了鲁棒跟踪性能准则.给出了两种适用于该准则的分析方法:线性矩阵不等式方法,组合优化方法.线性矩阵不等式方法采用自适应分块策略,将参数空间分割成多个小块,并单独判断各个块的跟踪性能;组合优化方法结合序列二次规划和差分进化算法,直接在参数空间内搜索最大的满足准则要求的超立方体.以BTT导弹的俯仰通道姿态控制为例,对两种方法的使用进行说明,并通过仿真对评估结果进行了验证.
The requirements of flight control system clearance was analyzed, and a robust tracking performance criterion was introduced. Then two analysis approaches to this criterion were proposed: the LMI(linear matrix inequality)-based approach and the hybrid optimization one. An adaptive box- dividing strategy was used to split the parametric space into a lot of little boxes, and the tracking performance of each box was analyzed. The latter approach, which combines sequential quadratic programming and difference evolution algorithm, directly searches the biggest super-cube that satisfies the requirement in the parametric space. At last, two approaches were both illustrated via an example of the pitch attitude control system of BTT (back-to-turn) missile, and the clearance results were validated by simulation.
出处
《华中科技大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2013年第10期110-114,共5页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(60975058
61075095)
湖北省自然科学基金资助项目(2010CDB01904)
航天支撑技术基金资助项目
关键词
飞行控制系统
鲁棒
线性矩阵不等式
跟踪性能
评估准则
优化
flight control system
robust
linear matrix inequalities
tracking performance
clearancecriterion
optimization