Active Disturbance Rejection Controller Design Of Supersonic Vehicle Based On Immune Particle Swarm Opimization Algorithm

Supersonic aircraft flight airspace and speed range is larger, in flight by complex atmospheric environment uncertainties. Therefore, in the process of flight of the dramatic changes in the elements, and its dynamic model i tself has strong nonlinear and time-varying characteristics. The above characteristics of the supersonic speed vehicle model has brought a great challenge to the control system design of the aircraft. Auto disturbance rejection control is a new control met hod, the control method will control the uncertainty of the object’s internal and external as a total disturbance, through the extended state observer of the disturbances of the sum of real-time observation and compensation, so that the controller to obtai n the good robustness, realize the nonlinear time varying the effective control of target characteristics.In this paper, based on the study of the basic control theory of the auto disturbance rejection controller, the parameters tuning method of the auto disturbance rejection controller is studied. Through the theoretical method for optimization of controller parameters of the initial value, initial value selected by immune particle swarm optimization algorithm to optimize the. Thus, this paper puts forward a set of complete auto disturbance rejection controller(ADRC) parameters optimization method. With the application of the method to optimize the controller parameters and the controller is applied to supersonic aircraft control, is verified through the simulation of ballistic program to design controller for supersonic aircraft this temporary variable nonlinear object has a good control effect.