基于反步法的自适应滑模大机动飞行控制

Adaptive sliding mode high maneuvers flight control based on backstepping procedure

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,提出一种非线性反步自适应滑模变结构控制方法.基于反步法的思想适当选取Lyapunov函数,回馈递推得到自适应滑模控制律,并利用一种自适应参数策略的混沌粒子群算法优化控制器的固定参数改善系统性能,同时利用矩阵SDU分解克服高频控制增益矩阵估计时可能存在的奇异问题.仿真结果验证了算法的有效性.

A nonlinear adaptive variable structure control method is proposed in the presence of model nonlinearity and parameters uncertainty for high maneuvers flight. The adaptive sliding mode control law is obtained recursively via an appropriate choice of Lyapunov function based on backstepping procedure. With fixed parameters optimization done by using a chaotic particle swarm optimization algorithm of adaptive parameter strategy, good system performance is achieved. To prevent the singularity of the high-frequency gain matrix during parameter adaptation, a SDU decomposition of matrix is found, which is useful to get non-singular control law. Simulation results show the effectiveness of the control algorithm.