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
  • [41] Nonlinear speed control for a PM synchronous motor with a sequential parameter auto-tuning algorithm
    Kim, KH
    IEE PROCEEDINGS-ELECTRIC POWER APPLICATIONS, 2005, 152 (05): : 1253 - 1262
  • [42] A novel auto-tuning robust PID controller for networked control system
    Li, SB
    Wang, Z
    Sun, YX
    IECON'03: THE 29TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1 - 3, PROCEEDINGS, 2003, : 836 - 841
  • [43] Auto-tuning digital control based on parameters identification and disturbance observer
    Chen, CS
    Lee, YR
    PROGRESS ON ADVANCED MANUFACTURE FOR MICRO/NANO TECHNOLOGY 2005, PT 1 AND 2, 2006, 505-507 : 529 - 534
  • [44] Control design for PID controllers auto-tuning based on improved identification
    Pecharromán, RR
    Pagola, FL
    DIGITAL CONTROL: PAST, PRESENT AND FUTURE OF PID CONTROL, 2000, : 85 - 90
  • [45] Multivariable adaptive decoupling control based on auto-tuning neurons for aeroengine
    School of Power and Engine, Northwestern Polytechnical University, Xi'an 710072, China
    不详
    Hangkong Dongli Xuebao, 2007, 3 (490-494):
  • [46] An MCFC operation optimization strategy based on PID auto-tuning control
    Lee, Donghyeon
    Cheon, Yujin
    Ryu, Jun-Hyung
    Lee, In-Beum
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2017, 42 (40) : 25518 - 25530
  • [47] Inter-system handover parameter auto-tuning in a joint-RRM scenario
    Luna-Ramirez, S.
    Ruiz, F.
    Toril, M.
    Fernandez-Navarro, M.
    2008 IEEE 67TH VEHICULAR TECHNOLOGY CONFERENCE-SPRING, VOLS 1-7, 2008, : 2641 - 2645
  • [48] Rapid Tuning Method of PID Parameters for AC Servo Control System Based on PMAC
    Wang, Guiying
    Cao, Jun
    Liu, Yongchun
    ADVANCES IN ENGINEERING DESIGN AND OPTIMIZATION II, PTS 1 AND 2, 2012, 102-102 : 817 - +
  • [49] Fuzzy autotuning scheme based on α-parameter ultimate sensitivity method for AC speed servo system
    Yoshitsugu, J
    Inoue, K
    Nakaoka, M
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2000, 36 (02) : 492 - 499
  • [50] An adaptive sliding-mode control technique for three-phase UPS system with auto-tuning of switching gain
    Choi, Y. S.
    Choi, H. H.
    Jung, J. W.
    ELECTRICAL ENGINEERING, 2014, 96 (04) : 373 - 383