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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 backstepping adaptive sliding mode variable structure control method is proposed for the non-linear and parametric uncertainties of large aircraft maneuvering flight. Based on the idea of backstepping method, the Lyapunov function is selected appropriately and the feedback recursive is adaptive Sliding mode control law, and an adaptive parameter strategy based on chaos particle swarm optimization algorithm to optimize the controller’s fixed parameters to improve the system performance, while using matrix SDU decomposition to overcome the high frequency control gain matrix estimation possible existence of the singular problems. Simulation results verify The effectiveness of the algorithm.