Automatic learning control-based gain parameter auto-tuning scheme for AC servo system

被引:0
|
作者
Inoue, K
Yoshitsugu, J
Shirogane, S
Boyagoda, P
Nakaoka, M
机构
来源
IAS '97 - CONFERENCE RECORD OF THE 1997 IEEE INDUSTRY APPLICATIONS CONFERENCE / THIRTY-SECOND IAS ANNUAL MEETING, VOLS 1-3 | 1997年
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, described is an advanced control method of system parameter auto-tuning implementation of AC servo system using fuzzy reasoning logic with automatically learning control function. This control method includes three features; (i) It is not necessary to input some kinds of fuzzy rules to the AC servo system before starting auto-tuning operation. Thus, the fuzzy rules can be automatically produced in learning process. (ii) Any knowledge and information about system parameter tuning technique are not required. (iii) Both high speed response and robustness can be obtained. The feasible effectiveness of this auto-tuning processing approach for AC servo system are practically confirmed through experimental results.
引用
收藏
页码:836 / 843
页数:8
相关论文
共 50 条
  • [21] Auto-tuning fuzzy PID control of a pendubot system
    Wu, Chia-Ju
    Lee, Tsong-Li
    Fu, Yu-Yi
    Lai, Li-Chun
    2007 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS, 2007, : 391 - +
  • [22] Observer-based inertial identification for auto-tuning servo motor drives
    Yang, SM
    Deng, YJ
    CONFERENCE RECORD OF THE 2005 IEEE INDUSTRY APPLICATIONS CONFERENCE, VOLS 1-4, 2005, : 968 - 972
  • [23] PID controller parameter auto-tuning of power plant simulation system
    Liu, Zhen
    Jiang, Xuezhi
    Li, Donghai
    Qinghua Daxue Xuebao/Journal of Tsinghua University, 1998, 38 (05): : 50 - 54
  • [24] Parallel computing based parameter auto-tuning algorithm for optimization solvers
    Shao, Z. (zjshao@iipc.zju.edu.cn), 2013, Materials China (64):
  • [25] Robust Auto-tuning Fractional Order Control of an Aerodynamical System
    Dulf, Eva-H
    Muresan, Cristina-I.
    Both-Rusu, Roxana
    Dulf, Francisc-V.
    PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON MECHATRONICS, CONTROL AND AUTOMATION ENGINEERING (MCAE), 2016, 58 : 42 - 45
  • [26] Simulation and Application of Neural Network PID Auto-tuning Controller in Servo-system
    Lin, Qing-song
    Yao, Yu-fei
    Wang, Jun-xiao
    2010 2ND INTERNATIONAL WORKSHOP ON DATABASE TECHNOLOGY AND APPLICATIONS PROCEEDINGS (DBTA), 2010,
  • [27] Method for Auto-tuning of Current and Speed Controller in IPMSM Drive System Based on Parameter Identification
    Tadokoro, D.
    Morimoto, S.
    Inoue, Y.
    Sanada, M.
    2014 INTERNATIONAL POWER ELECTRONICS CONFERENCE (IPEC-HIROSHIMA 2014 - ECCE-ASIA), 2014, : 390 - 394
  • [28] Towards Machine Learning-Based Auto-tuning of MapReduce
    Yigitbasi, Nezih
    Willke, Theodore L.
    Liao, Guangdeng
    Epema, Dick
    2013 IEEE 21ST INTERNATIONAL SYMPOSIUM ON MODELING, ANALYSIS & SIMULATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS (MASCOTS 2013), 2013, : 11 - +
  • [29] Auto-Tuning of Attitude Control System for Heterogeneous Multirotor UAS
    Hoshu, Ayaz Ahmed
    Wang, Liuping
    Sattar, Abdul
    Fisher, Alex
    REMOTE SENSING, 2022, 14 (07)
  • [30] Deep Reinforcement Learning Based Dynamic Proportional-Integral (PI) Gain Auto-Tuning Method for a Robot Driver System
    Park, Joonghoo
    Kim, Heejung
    Hwang, Kyunghun
    Lim, Sejoon
    IEEE ACCESS, 2022, 10 : 31043 - 31057