基于状态预测的无人机导航控制

Navigation control for UAV based on state prediction

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.

In view of the effect of UAV＇s momentum on its real-time and accuracy of path navigation control,a navigation control strategy was presented based on the flight state prediction of UAV,in which the grey prediction and fuzzy PID control were combined.Gray prediction-fuzzy PID was used for constructing a heading control system of UAV of which the predicted flight state of UAV was inputted into the heading control system for regulating its state,so as to achieve a real-time,accurate navigation and flight control to the UAV.The simulation results show that the gray prediction-fuzzy PID control can improve effectively the robustness and realtime performance of UAV navigation control system,and its control performance is better than the traditional PID controller.