摘要
提出了一种基于B-spline网络和动态面控制方法的过失速机动飞行控制律设计方法。针对飞机气动力和力矩的非线性和不确定性,引入具有学习和记忆功能的B-spline网络,自适应逼近飞机的气动力和力矩,加快参数收敛速度,改善系统的过渡过程性能。动态面飞行控制律消除了Backstepping设计方法中由于对虚拟控制反复求导而导致的复杂性问题。基于Lyapunov稳定性定理证明了闭环系统的所有信号半全局一致毕竟有界,并且通过适当选择设计参数,跟踪误差可收敛到原点的一个小邻域内。大迎角过失速机动飞行的数值仿真验证了方法的有效性。
An approach is proposed for designing post-stall maneuvering flight controllers using B-spline approximation and dynamic surface control method.An on-line parameter update law that makes use of B-spline networks is used to approximate the aerodynamic force and moment coefficients.The B-spline networks raise the weight updating speed and improve the performance of transient processes.The problem of explosion of terms in traditional Backstepping design,which is caused by repeated differentiations of certain nonlinear functions such as virtual control,is eliminated by dynamic surface control method.All signals in the close loop are guaranteed to be semi-globally uniformly ultimately bounded and the output tracking error is proved to converge to a small neighborhood around zero by appropriately choosing design parameters.Simulation results for post-stall maneuvering flight demonstrate the effectiveness of the proposed method.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2010年第10期2210-2213,2251,共5页
Systems Engineering and Electronics
基金
国家自然科学基金(60904038)
中国博士后科学基金(20070421137)资助课题
