Relationship between fuzzy controllers and PID controllers

被引：6
|
作者：
Li, HX [1 ]
机构：
[1] Beijing Normal Univ, Dept Math, Beijing 100875, Peoples R China
来源：
SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES | 1999年 / 42卷 / 02期
基金：
中国国家自然科学基金;
关键词：
fuzzy controllers; interpolators; P controllers; PD controllers; PI controllers; PID controllers;
D O I：
10.1007/BF02917118
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The internal relations between fuzzy controllers and PID controllers are revealed. First, it is pointed out that a fuzzy controller with one input and one output is just a piecewise P controller. Then it is proved that a fuzzy controller with two inputs and one output is just a piecewise PD (or I) controller with interaction between P and D (or PI). At last, the conclusion that a fuzzy controller with three inputs and one output is just a piecewise PID controller with interaction among P, I and D is given. Moreover, a kind of difference scheme of fuzzy controllers is designed.
引用
收藏
页码：215 / 224
页数：10
相关论文
共 50 条
  • [31] Improving Vegas algorithm using PID and fuzzy PID controllers
    Shahingohar, Aria
    Menhaj, Mohammad Bagher
    Karrari, Mehdi
    Yaghamae, Mohammad Hossein
    COMPUTATIONAL INTELLIGENCE, THEORY AND APPLICATION, 2006, : 765 - +
  • [32] Improving JoBS algorithm using PID and fuzzy PID controllers
    Mirjalily, Ghasem
    Saadat, Reza
    Ahmadian, Mahnaz
    IMECS 2007: INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II, 2007, : 1405 - +
  • [33] A comparison between PID and PIDA controllers
    Milanesi, Marco
    Mirandola, Edoardo
    Visioli, Antonio
    2022 IEEE 27TH INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2022,
  • [34] An approach for the robustness comparison between piecewise linear PID -like fuzzy and classical PID controllers
    C. W. Tao
    J. S. Taur
    Soft Computing, 2005, 9 : 430 - 438
  • [35] Comparison between Self-Tuning Fuzzy PID and Classic PID Controllers for Greenhouse System
    Gouadria, Faten
    Sbita, Lassaad
    Sigrimis, Nick
    2017 INTERNATIONAL CONFERENCE ON GREEN ENERGY & CONVERSION SYSTEMS (GECS), 2017,
  • [36] Design of fuzzy PID droop controllers for islanded microgrids
    Yang, Zhichun
    Liu, Kaipei
    Le, Jian
    Wan, Zilin
    Wang, Dongxu
    Su, Yi
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2013, 37 (12): : 19 - 23
  • [37] PID, Fuzzy and LQR Controllers for Magnetic Levitation System
    Unni, Arjun C.
    Junghare, A. S.
    Mohan, Vivek
    Ongsakul, Weerakorn
    PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON COGENERATION, SMALL POWER PLANTS AND DISTRICT ENERGY (ICUE 2016), 2016,
  • [38] Two-level tuning of fuzzy PID controllers
    Mann, GKI
    Hu, BG
    Gosine, RG
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2001, 31 (02): : 263 - 269
  • [39] Fuzzy and PID controllers applied to ball and plate system
    Robayo Betancourt, Faiber I.
    Brand Alarcon, Samuel M.
    Aristizabal Velasquez, Luisa F.
    2019 IEEE 4TH COLOMBIAN CONFERENCE ON AUTOMATIC CONTROL (CCAC): AUTOMATIC CONTROL AS KEY SUPPORT OF INDUSTRIAL PRODUCTIVITY, 2019,
  • [40] A new fuzzy gain scheduling scheme for the PID controllers
    Radaideh, SM
    Hayajneh, MT
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2003, 9 (04): : 269 - 277
12345