A fuzzy logic based PSS using a standardized rule table

被引:8
|
作者
Sanaye-Pasand, M [1 ]
Malik, OP [1 ]
机构
[1] Univ Calgary, Dept Elect & Comp Engn, Calgary, AB T2N 1N4, Canada
来源
ELECTRIC MACHINES AND POWER SYSTEMS | 1999年 / 27卷 / 03期
关键词
fuzzy logic control; power system stabilizer; excitation control; power system simulation;
D O I
10.1080/073135699269316
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
To achieve better performance for the controlled system, the rule table of a fuzzy logic based controller is often determined by trial and error. To simplify this time-consuming task, a standardized rule table that can be used in a fuzzy logic control design procedure is developed in this paper. To demonstrate its applicability, the design technique proposed in this paper is employed to design a fuzzy logic based pourer system stabilizer. Details of the design procedure and results of performance studies with the proposed stabilizer are given in the paper.
引用
收藏
页码:295 / 310
页数:16
相关论文
共 50 条
  • [31] Rule generation of fuzzy logic systems using a self-organized fuzzy neural network
    Figueroa-Garcia, Juan C.
    Ochoa-Rey, Cynthia M.
    Avellaneda-Gonzalez, Jose A.
    NEUROCOMPUTING, 2015, 151 : 955 - 962
  • [32] Robot Navigation in Dynamic Environments using Fuzzy Logic and Trajectory Prediction Table
    Chinag, Cheng-Hsiung
    Ding, Chiehyi
    2014 INTERNATIONAL CONFERENCE ON FUZZY THEORY AND ITS APPLICATIONS (IFUZZY2014), 2014, : 99 - 104
  • [33] Constraining dynamic TOPMODEL responses for imprecise water table information using fuzzy rule based performance measures
    Freer, JE
    McMillan, H
    McDonnell, JJ
    Beven, KJ
    JOURNAL OF HYDROLOGY, 2004, 291 (3-4) : 254 - 277
  • [34] Fuzzy PID based PSS design using genetic algorithm
    Hakim, Ermanu A.
    Soeprijanto, Adi
    Mauridhi, H.P.
    World Academy of Science, Engineering and Technology, 2009, 38 : 1454 - 1457
  • [35] A Novel Fuzzy Rule Matrix Design for Fuzzy Logic-based Power System Stabilizer
    Sambariya, Dhanesh Kumar
    Prasad, Rajendra
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2017, 45 (01) : 34 - 48
  • [36] Hardware implementation of PLD-based fuzzy logic controllers using a look-up table technique
    Tan, Heng Siew
    Sandige, Richard
    Wilamowski, Bogdan
    Artificial Neural Networks in Engineering - Proceedings (ANNIE'94), 1994, 4 : 89 - 94
  • [37] A logic-based approach for evaluating interpretability of fuzzy rule-based classifiers
    Mencar, Corrado
    Castiello, Ciro
    Fanelli, Anna M.
    PROCEEDINGS OF THE JOINT 2009 INTERNATIONAL FUZZY SYSTEMS ASSOCIATION WORLD CONGRESS AND 2009 EUROPEAN SOCIETY OF FUZZY LOGIC AND TECHNOLOGY CONFERENCE, 2009, : 339 - 344
  • [38] On proofs and rule of multiplication in fuzzy attribute logic
    Belohlavek, Radim
    Vychodil, Vilem
    FOUNDATIONS OF FUZZY LOGIC AND SOFT COMPUTING, PROCEEDINGS, 2007, 4529 : 471 - +
  • [39] Automatic Rule Tuning of a Fuzzy Logic Controller Using Particle Swarm Optimisation
    Fang, Gu
    Kwok, Ngai Ming
    Wang, Dalong
    ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, AICI 2010, PT II, 2010, 6320 : 326 - 333
  • [40] A real time production sequencing rule for machines of a FMS using fuzzy logic
    Pires, MG
    Castro, PAD
    Morandin, O
    Camargo, HA
    Kato, ERR
    2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, CONFERENCE PROCEEDINGS, 2003, : 4381 - 4386