Evolving an Auto-Disturbance-Rejection Controller for a simulator servo system

This paper presents an evolutionary controller design method for a flight simulator servo system. The method consists of a population of Auto-Disturbance-Rejection Controller(ARDC) that evolve towards an optimal controller through the use of a genetic algorithm(GA) in handling set point change of the system. The optimal controller is then applied to the robustness tests and disturbance rejection tests. The test results have proved that the method can estimate and compensate the plant perturbations of parameters and external disturbances in the control system, thus improve the transient response and control precision evidently.