Title :
Evolving an Auto-Disturbance-Rejection Controller for a simulator servo system
Author :
Wang, Qing ; Cui, Yong-shan ; Wang, Jia-qing
Author_Institution :
Guangzhou Univ., Guangzhou
Abstract :
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.
Keywords :
aerospace simulation; genetic algorithms; optimal control; servomechanisms; autodisturbance-rejection controller; evolutionary controller design; external disturbances; flight simulator servosystem; genetic algorithm; optimal controller; set point change; Aerospace simulation; Automatic control; Control systems; Cybernetics; Error correction; Machine learning; Nonlinear control systems; Optimal control; Servomechanisms; Testing; Auto-Disturbance-Rejection Controller; Simulator Servo System; genetic algorithm;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620728
