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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。
Aiming at the difficulty of tracking control of aircraft with actuator and nonlinear multi-control plane, a robust adaptive neural network control method is proposed based on control distribution. The control distribution equation of multi-control plane with actuator nonlinearity is derived. An adaptive neural network is designed to compensate the nonlinear uncertainties in the system, and robust items are introduced to eliminate external disturbances and systematic errors. The Lyapunov stability theorem is used to prove that all the signals in the closed-loop system are boundedly convergent, and the tracking error tends to 0 asymptotically. Simulation results verify the effectiveness of the method.