会议专题

EVOLVING AN AUTO-DISTURBANCE-REJECTTON 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 Controllcr(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.

Auto-Disturbance-Rejection Controller Simulator Servo System genetic algorithm

QING WANG YONG-SHAN CUI JIA-QING WANG

Guangzhou University, Guangzhou 510000, P.R.China Shenyang Institute of Automation, Chinese Academy Sciences, Shenyang, 110016,C AS, P.R.China

国际会议

2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

昆明

英文

1962-1967

2008-07-12(万方平台首次上网日期,不代表论文的发表时间)