含执行器非线性的多操纵面飞机自适应跟踪控制  

Adaptive tracking control of multi-effector aircraft with actuator nonlinearity

作　　者：刘棕成[1] 陈勇[1] 董新民[1] 薛建平[1] 程建锋 王族统 

机构地区：[1]空军工程大学航空航天工程学院,陕西西安710038 [2]空军西安飞行学院理论训练系,陕西西安710306 [3]装备学院装备指挥系,北京101416

出　　处：《系统工程与电子技术》2017年第2期383-390,共8页Systems Engineering and Electronics

基　　金：国家自然科学基金(61304120;61473307;61603411;71501184)资助课题

摘　　要：针对含执行器非线性多操纵面飞机跟踪控制困难的问题,基于控制分配提出了一种鲁棒自适应神经网络控制方法。推导了含执行器非线性的多操纵面飞机控制分配方程。设计了自适应神经网络对系统中的非线性不确定项进行补偿,并引入鲁棒项消除了外界干扰和系统误差。利用Lyapunov稳定性定理证明了闭环系统的所有信号都是有界收敛的,且跟踪误差渐近趋于0。仿真结果验证了方法的有效性。A robust adaptive neural network control method based on control allocation is proposed to solve the difficult problem of the tracking control of multi-effeetor aircraft with actuator nonlinearity. A control allocation equation is developed for multi-effector aircraft with actuator nonlinearity. An adaptive neural network is designed to compensate the nonlinear system uncertainty, and a robust term is introduced to attenuate the effects of external disturbance and system errors. From Lyapunov stability theorem, it is proved that all the sig- nals in the closed-loop system are bounded, and the tracking error can asymptotically converge to zero. Simulation results are presented to demonstrate the effectiveness of this method.

关 键 词：多操纵面飞机 执行器非线性 自适应控制 神经网络 

分 类 号：V249.1[航空宇航科学与技术—飞行器设计] TP273[自动化与计算机技术—检测技术与自动化装置]