A PID-type fuzzy controller model for machine control applications

被引：0
|
作者：
L. Zhu
D. Toncich
R. Nagarajah
K. Romanski
机构：
[1] Swinburne University of Technology,Industrial Research Institute
[2] Farley Cutting Systems Australia P/L,Research Leader
[3] Hawthorn Industrial Research Institute,undefined
[4] Swinburne,undefined
来源：
The International Journal of Advanced Manufacturing Technology | 1997年 / 13卷
关键词：
Adaptive; Controller; Fuzzy; PID; Self-learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper introduces a PID-like fuzzy controller model, which consists of only five fuzzy rules. Each fuzzy rule is designed to carry out a single control task. A self-learning procedure is used to determine the input scale factor for auto-tuning the system. A new performance criterion is suggested as an object function for the auto-tuning procedure. The features of this fuzzy controller, used in position control applications, are demonstrated by the simulation results of two different types of plants — a d.c. motor and an inverted pendulum.
引用
收藏
页码：696 / 707
页数：11
相关论文
共 50 条
  • [1] A PID-type fuzzy controller model for machine control applications
    Zhu, L
    Toncich, D
    Nagarajah, R
    Romanski, K
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 1997, 13 (10): : 696 - 707
  • [2] A PID-Type Fuzzy Logic Controller-Based Approach for Motion Control Applications
    Garcia-Martinez, Jose R.
    Cruz-Miguel, Edson E.
    Carrillo-Serrano, Roberto, V
    Mendoza-Mondragon, Fortino
    Toledano-Ayala, Manuel
    Rodriguez-Resendiz, Juvenal
    [J]. SENSORS, 2020, 20 (18) : 1 - 19
  • [3] The design of a linear PID-type fuzzy controller
    Lee, YC
    Hwang, C
    [J]. JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS, 1996, 19 (03) : 299 - 308
  • [4] DFIG Pitch Angle Control with PID-type Fuzzy Logic Controller in a Microgrid
    Datta, Ujjwal
    Shi, Juan
    Kalam, Akhtar
    Li, Jiangrong
    [J]. PROCEEDINGS OF THE 15TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2020), 2020, : 258 - 263
  • [5] A PID-type Fuzzy Logic Controller for an Interventional Surgical Robot
    Guo, Shuxiang
    Guo, Yangming
    Bao, Xianqiang
    Yang, Cheng
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (ICMA), 2019, : 2535 - 2539
  • [6] Optimal single input PID-type fuzzy logic controller
    Lee, Shih-Chih
    Shih, Ching-Long
    [J]. JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS, 2012, 35 (04) : 413 - 420
  • [7] PID-type Fuzzy Logic Controller for Active Magnetic Bearing System
    Noshadi, Amin
    Shi, Juan
    Lee, WeeSit
    Kalam, Akhtar
    [J]. IECON 2014 - 40TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2014, : 241 - 247
  • [8] Adaptive fuzzy control using PID-type learning algorithm
    Lee, Bore-Kuen
    Hsu, Chen-Fei
    Chen, Guan-Ming
    Lee, Tsu-Tian
    [J]. IMECS 2007: INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II, 2007, : 1609 - +
  • [9] PID-type fuzzy logic controller tuning based on particle swarm optimization
    Bouallegue, S.
    Haggege, J.
    Ayadi, M.
    Benrejeb, M.
    [J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2012, 25 (03) : 484 - 493
  • [10] A ROBUST INTELLIGENT PID-TYPE FUZZY CONTROL STRUCTURE FOR PRESSURE CONTROL
    Kanagaraj, N.
    Kumar, R.
    Sivashanmugam, P.
    [J]. CHEMICAL ENGINEERING COMMUNICATIONS, 2009, 196 (03) : 291 - 304
12345