基于改进Fuzzy-PID控制理论的无人机纵向飞控律设计

针对无人机飞行中存在大量的随机干扰和不确定误差等问题,常规的PID控制器不能满足高精度、高灵活性和强适应性的要求,提出了基于改进Fuzzy-PID控制理论的飞控律设计。该设计使用模糊规则下的切换开关来完成PID控制和Fuzzy控制输出量的加权,使控制具有两者的优点。通过调整模糊隶属度函数参数,可以得到系统的最佳控制方案。仿真结果表明:基于改进Fuzzy-PID控制理论的飞控律明显优于常规控制理论,具有较强的适应性和灵活性,在提高无人机的飞行控制系统性能上具有实际意义。

Longitudinal Flight Control Law Design for UAVs Based on Improved Fuzzy-PID Theory

The conventional PID controller can not fulfill the requirements of high precision,high flexibility and strong adaptability for flight control of UAVs due to the large quantity of random disturbances and uncertain errors.Therefore,we proposed a design of flight control law based on improved Fuzzy PID control theory.In the design,the switch under fuzzy rules was used for implementing the weighing between PID controller and Fuzzy controller,which made full use of the advantages of both the controllers.To adjust the parameters of fuzzy membership functions,the optimum control scheme was obtained.Simulation results demonstrated that the flight control law based on improved Fuzzy PID control theory is obviously better than conventional control theory,and has stronger adaptability and flexibility,which has practical significance for improving the flight control system s performance.