Design Of Robust PID Controller For Air-to-Air Missile Based On Swarm Intelligence Optimization

As the main weapon in modern air combat,air-to-air missiles have become an important factor in determining the outcome of air combat.At present,the new generation of missiles faces control problems such as nonlinear characteristics,channel coupling and various types of uncertainties.Controllers designed with classical control theory are difficult to solve,and traditional robust control methods such as H_∞andμsynthesis are used.The controller has a problem that the order is too high to be difficult to engineer.In this dissertation,the classical PID controller is used as the system control structure.The robust performance index of the system is considered in the design of the control system.The controller parameters are optimized by the non-dominated sorting chemical reaction optimization algorithm in the group intelligent optimization to complete the robust PID controller.Firstly,the nonlinear mathematical model of the sample air-to-air missile is established and the linearization is performed.The stability and maneuverability,the frequency domain analysis based on the singular value curve and the object uncertainty analysis of linearization model are carried out.It provides the basis for the design of the subsequent robust PID controller.Secondly,the weight function is obtained by designing the robust controller for the longitudinal channel of the linear model.The weight function is used to calculate the robustness index in the robust PID controller design process.Since there is no general theoretical guidance for the selection of weight function,the optimization algorithm of chemical reaction optimization algorithm in group intelligent optimization is proposed to satisfy the control function.Thirdly,under the Raytheon pilot control structure,considering the robustness of the closed-loop system,the robust PID controller of the sample air-to-air missile is designed by applying the above-mentioned optimized weight function.A non-dominated sorting chemical reaction optimization algorithm is proposed for the optimization design of controller parameters.The algorithm is improved for the characteristics of the two robust control methods,and the robust PID control is analyzed from the time domain and the frequency domain respectively.Finally,the nonlinear six-degree-of-freedom model of the air-to-air missile is used to verify the control performance of the closed-loop system.The control parameters between characteristics points are obtained by parameter interpolation method.The nominal performance of the system is verified by given typical input signals,and the main and cross terms of the aerodynamic parameters are deviated to verify its robust performance.The simulation results show that the robust PID controller of the sample air-to-air missile based on swarm intelligent optimization proposed in this dissertation meets the system design requirements.