摘要
传统的飞行控制律评估方法只能对飞行包线内的离散点进行逐点分析,对不确定性参数也只考虑了上下界,分析过程缺乏完整性和系统性。针对这些不足,研究了基于一种改进遗传算法的分析方法,该方法将评估准则转化为某个适应度函数,通过对适应度函数寻优以找到最坏情况下的不确定参数组合,在其基础上进行评估并给出评估结果或控制律修改意见。仿真结果表明,该方法能连续地研究多个不确定性参数同时摄动时的飞行包线,克服了传统方法的不足。
Known to all, the traditional flight control law clearance method is conducted on simple discrete points and only considers the boundaries of uncertain parameters. In this paper a novel improved genetic based analysis method applied to clearance of flight control laws is proposed. By using the fitness functions transformed from flight qualities criteria, the technique can search for the set of parameters in the worst condition. And based on the obtained worse set, it can easily give out the clearance results or suggestions about how to modify the flight control laws. The simulation results show that the improved genetic based clearance method can overcome those limitations of traditional clearance methods, and the flight envelope can be cleared continuously in the condition with simultaneously varying uncertain parameters.
出处
《飞行力学》
CSCD
北大核心
2008年第5期32-35,39,共5页
Flight Dynamics
基金
航空科学基金资助项目(05E18005)
