提出了一种基于神经网络逆控制的飞行控制方法,用于解决无人机发生故障传统PID失效时,难以恢复控制的问题。通过建立基于适当神经网络结构的非线性系统的逆系统,与PID反馈控制结合,有效解决无人机发生故障时非线性耦合的问题,并重构控制率,使无人机恢复有效控制。仿真结果表明该控制策略可行,提高了在传统PID失效时无人机的生存能力。 A flight control method based on neural network inverse control is proposed to solve the problem that it is difficult to recover control when the traditional PID fails. By establishing the inverse system of nonlinear system based on the proper neural network structure and PID feedback control, the problem of nonlinear coupling in UAV fault can be effectively solved and the control rate can be reconstructed so that the UAV can be effectively controlled. Simulation results show that this control strategy is feasible and improves the survivability of UAV when the traditional PID fails.