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

作　　者：孙勇[1] 章卫国[1] 章萌[1] 

机构地区：[1]西北工业大学自动化学院,西安710072

出　　处：《控制与决策》2011年第9期1377-1381,共5页Control and Decision

基　　金：航空科学基金项目(20090753008)

摘　　要：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.

关 键 词：大机动飞行 自适应滑模控制 反步 SDU分解 优化算法 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] V249[自动化与计算机技术—控制科学与工程]