摘要
针对飞机大机动飞行提出了一种命令滤波回馈递推自适应控制方法。基于回馈递推的思想适当选取Lya-punov函数递推得到控制律,同时设计相应的自适应律来调节未知参数,考虑到飞机内部状态变量和激励器的物理限制,命令滤波器被引入到递推设计过程中,并利用一种基于免疫克隆原理的改进粒子群算法优化固定参数改善动态性能。仿真结果表明,当激励器饱和时,设计的控制律仍能理想地跟踪飞机大机动指令飞行,同时具有快速的收敛性和良好的鲁棒性。
A command filtered backstepping adaptive control method was proposed for high maneuver flight.The control law was obtained recursively via an appropriate choice of Lyapunov function based on backstepping procedure,and the unknown parameters are tuned by the corresponding adaptive law.Considering the mechanical or operating constraints of the control variables and virtual control states,command filters were used in the design of recursion,and a modified particle swarm optimization based on immune clone principle was used to optimize the fixed parameters and improve the dynamic performance.Simulation results showed that the designed control law can guarantee precise high maneuvers with rapid convergence speed and good robustness when the actuators are saturated.
出处
《电光与控制》
北大核心
2011年第6期5-8,55,共5页
Electronics Optics & Control
基金
航空科学基金项目(20090753006)
关键词
大机动飞行
回馈递推
命令滤波器
优化算法
high maneuver flight
backstepping
command filter
optimization algorithm