Research on Multi-Objective optimal tuning of Auto-Disturbance-Rejection- controller

Author

Sun, Dehui ; Shi, Yuntao ; Li, Zhijun ; Jiaruzuo ; Gao, Dongjie

Author_Institution

Univ. of North China Univ. of Technol., Beijing

fYear

2007

fDate

18-21 Aug. 2007

Firstpage

1437

Lastpage

1441

Abstract

Nonlinear Auto-Disturbance-Rejection-Control controller tuning problem is investigated. The tuning problem is recast into a multi-objective optimal problem .The typical Nonlinear Least Square Method Levenberg-Marqudart algorithm and min-max optimization method is utilized to realize the optimal iteration. A new optimal mechanism is introduced which integrate simulink and optimization toolbox of Matlab. Based on this mechanism the parameters of nonlinear PD and extended state observer is tuned .The result of simulation indicate the multi-objective optimization tuning method is effective.

Keywords

iterative methods; least squares approximations; minimax techniques; nonlinear control systems; tuning; Levenberg-Marqudart algorithm; controller tuning problem; min-max optimization method; multiobjective optimal problem; multiobjective optimal tuning; nonlinear autodisturbance-rejection-control; nonlinear least square method; optimal iteration; Automatic control; Automation; Control systems; Error correction; Least squares methods; Logistics; Minimax techniques; Nonlinear control systems; Optimal control; Optimization methods; ADRC; Levenberg-Marqudart.optimization algorithm; MinMax optimization algorithm; Multi-Objective Optimal Method;

fLanguage

English

Publisher

ieee

Conference_Titel

Automation and Logistics, 2007 IEEE International Conference on

Conference_Location

Jinan

Print_ISBN

978-1-4244-1531-1

Type

conf

DOI

10.1109/ICAL.2007.4338796

Filename

4338796