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基于飞行惯性对无人机路径导航实时控制和控制精度的影响,将灰色预测模型与模糊PID控制进行融合,提出了基于无人机飞行状态预测的导航控制策略.将无人机飞行状态预测信息作为系统状态调节的输入,构建灰色预测模糊PID航向控制系统,达到对无人机进行实时、准确导航飞行控制的目的.仿真实验结果表明:灰色预测模糊PID控制器可以有效提高无人机导航控制系统的鲁棒性、实时性,与传统的PID控制器相比,其控制性能更优.
Based on the influence of flight inertia on the real-time control and accuracy of UAV path navigation, the gray prediction model is fused with fuzzy PID control, and the navigation control strategy based on UAV flight state prediction is proposed. The UAV flight state prediction information As the input of system state adjustment, a gray prediction fuzzy PID heading control system is constructed to achieve the purpose of real-time and accurate navigation and flight control for the UAVs.The simulation results show that the gray prediction fuzzy PID controller can effectively improve the UAV navigation control System robustness, real-time, compared with the traditional PID controller, the control performance is better.