无人机飞行控制系统自修复设计研究

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。

Design of Self-repair Flight Control System on UAV

A flight control system of UAV based on neural network inverse control is proposed to solve the problem of UAV control that is difficult to recover when the traditional PID control failed.By establishing inverse system of nonlinear based on neural network structure,combined with the PID feedback control,the problem of nonlinear coupling is solved,and the control rate is renewed,UAV control is resumed.Simulation results show that the control strategy is feasible,so the technique can improve the UAV survival capability.