Abstract:

A robust adaptive neural network control method based on control allocation is proposed to solve the difficult problem of the tracking control of multi-effector 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 signals 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.