模块化反步自适应大机动飞行控制

Modular backstepping adaptive high maneuvers flight control

针对飞机大机动飞行时模型非线性和参数不确定性的特点,提出一种输入状态稳定反步自适应控制的模块化设计方法.基于模块化设计思想,设计一个输入状态稳定的反步控制器,保证在输入有界情况下系统状态的有界特性.基于最小二乘算法设计参数自适应律和滤波器的辨识器模块,保证独立于输入状态稳定控制器之外的参数误差及其导数有界,并利用一种基于免疫克隆原理的改进粒了群算法优化固定参数,改善动态性能.仿真结果表明了所提出算法的有效性.

A modular design of input-to-state stable backstepping adaptive control is proposed in the presence of modelnonlinearity and parameters uncertainty for high maneuvers flight. An input-to-state stable backstepping controller isdesigned based on modular strategy to guarantee state boundedness in the presence of bounded input signals. Theidentification modular comprised of parameters adaptive law based on least squares algorithm and filters is designed. Theboundedness of parameters estimation errors and their derivatives is ensured, which is separated from input-to-state stablecontroller modular. A modified particle swarm optimization based on immune clone principle is used to optimize controllerfixed parameters for achieving good transient performance. Simulation results show the effectiveness of the control algorithm.