Research on multi-objective optimal tuning of Auto-Disturbance-Rejection-controller

被引：5
|
作者：
Sun, Dehui [1 ]
Shi, Yuntao [1 ]
Li, Zhijun [1 ]
Zuo, Jiaru [1 ]
Gao, Donglie [2 ]
机构：
[1] Univ North China Univ Technol, Dept Automat, Jinyuanzhuang Rd, Beijing, Peoples R China
[2] Chinese Acad Sci, Overall Automat Engn Ctr, Inst Automat, Beijing, Peoples R China
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6 | 2007年
关键词：
ADRC; multi-objective optimal method; MinMax optimization algorithm; Levenberg-Marqudart; optimization algorithm;
D O I：
10.1109/ICAL.2007.4338796
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：1437 / +
页数：2
相关论文
共 50 条
  • [31] Tuning of Damping Controller Parameters Using Multi-Objective PSO Algorithm for STATCOM
    Banaei, M. R.
    INTERNATIONAL REVIEW OF ELECTRICAL ENGINEERING-IREE, 2011, 6 (01): : 300 - 308
  • [32] Preference driven multi-objective optimization design procedure for industrial controller tuning
    Reynoso-Meza, Gilberto
    Sanchis, Javier
    Blasco, Xavier
    Martinez, Miguel
    INFORMATION SCIENCES, 2016, 339 : 108 - 131
  • [33] Multi-objective PI controller tuning using NSGA-II with preferability
    Zhang, Tao
    Yin, Xiaokang
    2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 1562 - 1568
  • [34] The Modeling and Simulation of DFIM Based on Auto Disturbance Rejection Controller
    Zhang, Zhiqiang
    Zhuang, Yaping
    Yu, Lingang
    Wu, Zhengguo
    MACHINERY, MATERIALS SCIENCE AND ENGINEERING APPLICATIONS, 2012, 510 : 106 - +
  • [35] Nonlinear auto disturbance rejection controller based on neural networks
    Bao, H
    Duan, BY
    Chen, GD
    Proceedings of the 23rd IASTED International Conference on Modelling, Identification, and Control, 2004, : 428 - 432
  • [36] Parameter identification by model compensation auto disturbance rejection controller
    Zhang, Rong
    Han, Jingqing
    Kongzhi Lilun Yu Yinyong/Control Theory and Applications, 2000, 17 (01): : 79 - 81
  • [37] A nonlinear auto-disturbance rejection controller for induction motor
    Feng, GA
    Huang, LP
    Zhu, DQ
    IECON '98 - PROCEEDINGS OF THE 24TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-4, 1998, : 1509 - 1514
  • [38] From single- to multi-objective auto-tuning of programs: Advantages and implications
    Durillo, Juan
    Fahringer, Thomas
    SCIENTIFIC PROGRAMMING, 2014, 22 (04) : 285 - 297
  • [39] Controller tuning with multi-objective optimization: benchmark definitions for SISO linear systems: A PI controller case
    Reynoso-Meza, Gilberto
    Kagami, Ricardo Massao
    IFAC PAPERSONLINE, 2024, 58 (07): : 126 - 131
  • [40] IMC based robust PID controller tuning for disturbance rejection
    Shamsuzzoha, Mohammad
    JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2016, 23 (03) : 581 - 597
12345