Design of optimal fuzzy logic controller with genetic algorithms

被引：0
|
作者：
Rekik, C [1 ]
Djemel, M [1 ]
Derbel, N [1 ]
Alimi, A [1 ]
机构：
[1] Univ Sfax, ENIS, Res Unit Intelligent Control Design & Optimisat C, ICOS, Sfax 3038, Tunisia
来源：
PROCEEDINGS OF THE 2002 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL | 2002年
关键词：
genetic algorithms; fuzzy logic control; robot manipulator; optimal control;
D O I：
10.1109/ISIC.2002.1157745
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper is aimed at looking into the determination of optimal trajectories of the non-linear model of two-links articulated manipulator. In a first step, genetic algorithms are used to generate a sequence of the optimal control which is used to bring the manipulator robot at a desired position. In a second step, genetic algorithms optimize the parameters of membership functions and consequences of a Sugeno fuzzy logic based optimal controller. Simulation results show that the second step gives suboptimal solutions, however the first step yields to optimal solutions which are very sensitive with respect the parameters variation of the system.
引用
收藏
页码：98 / 103
页数：6
相关论文
共 50 条
  • [1] Hierarchical distributed genetic algorithms: A fuzzy logic controller design application
    Kim, J
    Zeigler, BP
    [J]. IEEE EXPERT-INTELLIGENT SYSTEMS & THEIR APPLICATIONS, 1996, 11 (03): : 76 - 84
  • [2] Hybrid Genetic Algorithms with Fuzzy Logic Controller
    Zheng Dawei & Gen Mitsuo Department of Industrial and Systems Engineering
    [J]. Journal of Systems Engineering and Electronics, 2001, (03) : 9 - 15
  • [3] Hybrid genetic algorithms with fuzzy logic controller
    Zheng, Dawei
    Gen, Mitsuo
    [J]. Beijing Keji Daxue Xuebao/Journal of University of Science and Technology Beijing, 2002, 24 (01):
  • [4] Fuzzy logic controller based on genetic algorithms
    Li, RH
    Yi, Z
    [J]. FUZZY SETS AND SYSTEMS, 1996, 83 (01) : 1 - 10
  • [5] Hybrid genetic algorithms with fuzzy logic controller
    Zheng, D.
    Gen, M.
    [J]. Journal of Systems Engineering and Electronics, 2001, 12 (03) : 9 - 15
  • [6] Optimal Trajectory of A Mobile Robot by a Genetic Design Fuzzy Logic Controller
    Rekik, Chokri
    Jallouli, Mohamed
    Derbel, Nabil
    [J]. 2009 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTATIONAL TOOLS FOR ENGINEERING APPLICATIONS, 2009, : 107 - 111
  • [7] Genetic algorithms with variable mutation rates: Application to fuzzy logic controller design
    Pham, DT
    Karaboga, D
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 1997, 211 (02) : 157 - 167
  • [8] DESIGN OF FUZZY LOGIC CONTROLLER FOR DOUBLE INVERTED PENDULUM USING IMPROVED GENETIC ALGORITHMS
    Ma, Xiuxiu
    Zhang, Guoli
    [J]. UNCERTAINTY MODELLING IN KNOWLEDGE ENGINEERING AND DECISION MAKING, 2016, 10 : 181 - 186
  • [9] Design of a fuzzy controller of PH by the genetic algorithms
    Khemliche, M
    Mokeddem, D
    Khellaf, A
    [J]. PCC-OSAKA 2002: PROCEEDINGS OF THE POWER CONVERSION CONFERENCE-OSAKA 2002, VOLS I - III, 2002, : 912 - 916
  • [10] Fuzzy controller design by parallel genetic algorithms
    Mondelli, G
    Castellano, G
    Attolico, G
    Distante, A
    [J]. APPLICATIONS AND SCIENCE OF COMPUTATIONAL INTELLIGENCE, 1998, 3390 : 344 - 353
12345