Control of the 2-degree-of-freedom servo system with iterative feedback tuning

被引:3
|
作者
Zhao, Jiangbo [1 ]
Feng, Wei [1 ]
Wang, Junzheng [1 ]
机构
[1] Beijing Inst Technol, Sch Automat, State Key Lab Complex Syst Intelligent Control &, Beijing 100081, Peoples R China
关键词
Iterative feedback tuning; the 2-degree-of-freedom servo system; local minimum; variable load; DC MOTORS; OPTIMIZATION; IFT;
D O I
10.1177/0959651815618090
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, the controller parameter tuning method of a large inertia 2-degree-of-freedom motion mechanism is presented. The proportional-integral controller is adopted to implement the system control. For the reason of load coupling of the two freedoms, fixed proportional-integral parameters cannot always get satisfied control performance. Based on this problem, the iterative feedback tuning method is applied to tune the controller parameters. This method makes the system output error decrease along the negative gradient direction, and the system cost function will reach local minimum after a few iterations. In order to improve the convergence speed of the iterative process, a gold ratio-based method is proposed to speed up the convergence of the iteration process. The simulation and comparison experiments are performed on the azimuth freedom, and the results show that the iterative feedback tuning method can achieve much higher control performance compared to classical tuning method, and it has the similar effect to the adaptive robust method.
引用
收藏
页码:197 / 207
页数:11
相关论文
共 50 条
  • [41] Active power control of autonomous hybrid power system using two degree of freedom PID controller
    Hussain, Israfil
    Das, Dulal Chandra
    Latif, Abdul
    Sinha, Nidul
    Hussain, S. M. Suhail
    Ustun, Taha Selim
    ENERGY REPORTS, 2022, 8 : 973 - 981
  • [42] Iterative feedback tuning for optimal repetitive constraint-following control of uncertain mechanical systems using Udwadia-Kalaba theory
    He, Chunsheng
    Huang, Kang
    Zhao, Han
    Zheng, Yunjun
    Xie, Shengquan
    OPTIMAL CONTROL APPLICATIONS & METHODS, 2023, 44 (03) : 1235 - 1250
  • [43] Improved Smith prediction monitoring AGC system based on feedback-assisted iterative learning control
    Zhang Hao-yu
    Sun Jie
    Zhang Dian-hua
    Chen Shu-zong
    Zhang Xin
    JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2014, 21 (09) : 3492 - 3497
  • [44] Optimal tuning of 3 degree-of-freedom proportional-integral-derivative controller for hybrid distributed power system using dragonfly algorithm
    Guha, Dipayan
    Roy, Provas Kumar
    Banerjee, Subrate
    COMPUTERS & ELECTRICAL ENGINEERING, 2018, 72 : 137 - 153
  • [45] Preview Control of an Active Vehicle Suspension System Based on a Four-Degree-of-Freedom Half-Car Model
    Li Yan
    Liu Shaojun
    2009 INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, VOL I, 2009, : 563 - 567
  • [46] Preview Control of an Active Vehicle Suspension System Based on a Four-Degree-of-Freedom Half-Car Model
    Li Yan
    Liu Shaojun
    ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL I, PROCEEDINGS, 2009, : 826 - 830
  • [47] Fractional order Proportional-Integral-Derivative Controller parameter selection based on iterative feedback tuning. Case study: Ball Levitation system
    Estakhrouiyeh, Mohsen Rezaei
    Gharaveisi, Aliakbar
    Vali, Mohammadali
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2018, 40 (06) : 1776 - 1787
  • [48] An integrated robust iterative learning control strategy for batch processes based on 2D system
    Zhou, Liuming
    Jia, Li
    Wang, Yu-Long
    Peng, Daogang
    Tan, Wendan
    JOURNAL OF PROCESS CONTROL, 2020, 85 : 136 - 148
  • [49] Sliding-mode observer-based active fault-tolerance control for a two-degree-of-freedom helicopter system with sensor faults
    Ma, Ge
    Yang, Weijie
    Lan, Xuejing
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2023,