Title :
Research of synthesis tuning algorithm of Active-Disturbance-Rejection Controller
Author :
Ma, Qiang ; Xu, Daping ; Shi, Yuntao
Author_Institution :
Sch. of Control Sci.&Eng., North China Electr. Power Univ., Beijing
Abstract :
Nonlinear active disturbance rejection controller (ADRC) tuning problem is investigated based on synthesis optimization method which including intelligent optimization method-NSGA_II and The typical nonlinear least square method-Levenberg-Marqudart algorithm. Based on multi-objective optimizing algorithm-NSGA_II the parameters of extended state observer is tuned. Nonlinear least square method is adopted to obtain the optimal parameter of Nonlinear PD controller parameters of active disturbance rejection controller. The results of simulation indicate the synthesis optimal tuning method of ADRC is effective.
Keywords :
PD control; control system synthesis; genetic algorithms; least squares approximations; nonlinear control systems; observers; tuning; active-disturbance-rejection controller; extended state observer; intelligent optimization method-NSGA_II; multiobjective optimizing algorithm-NSGA_II; nonlinear PD controller parameters; nonlinear active disturbance rejection controller tuning problem; nonlinear least square method-Levenberg-Marqudart algorithm; synthesis optimal tuning method; synthesis optimization method; synthesis tuning algorithm; Automatic control; Automation; Design optimization; Intelligent control; Least squares methods; Optimal control; Optimization methods; PD control; Power engineering and energy; Systems engineering and theory; ADRC; Levenberg-Marqudart algorithm; NSGAII; multi-objective optimization;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593367