Fuzzy Gain Scheduling Design Based on Multiobjective Particle Swarm Optimization

被引：0
|
作者：
Costa, Edson B. M. [1 ]
Serra, Ginalber L. O. [2 ]
机构：
[1] Univ Fed Maranhao, Sao Luis, MA, Brazil
[2] Fed Inst Technol Maranhao, Sao Luis, Maranhao, Brazil
来源：
2015 LATIN AMERICA CONGRESS ON COMPUTATIONAL INTELLIGENCE (LA-CCI) | 2015年
关键词：
Fuzzy Control; Gain Scheduling; Particle Swarm Optimization; Gain and Phase Margins; SYSTEMS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a fuzzy gain scheduling control approach based on gain and phase margins specifications for nonlinear systems with time varying delay, is proposed. A multi-objective particle swarm optimization (MPSO) strategy is defined to tune the fuzzy gain scheduling controller parameters for each operating condition, so the gain and phase margins of the fuzzy control system are close to specified ones. Experimental results show the efficiency of the proposed methodology for control of a thermal plant with time varying delay.
引用
收藏
页数：6
相关论文
共 50 条
  • [1] Multiobjective Particle Swarm Optimization Based on PAM and Uniform Design
    Zhu, Xiaoshu
    Zhang, Jie
    Feng, Junhong
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 2015
  • [2] Particle swarm optimization based on Multiobjective Optimization
    Ma, Zirui
    [J]. INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY, PTS 1-4, 2013, 263-266 : 2146 - 2149
  • [3] A particle swarm algorithm for multiobjective design optimization
    Ochlak, Eric
    Forouraghi, Babak
    [J]. ICTAI-2006: EIGHTEENTH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2006, : 765 - +
  • [4] Multiobjective Particle Swarm Optimization Using Fuzzy Logic
    Yazdani, Hossein
    Kwasnicka, Halina
    Ortiz-Arroyo, Daniel
    [J]. COMPUTATIONAL COLLECTIVE INTELLIGENCE: TECHNOLOGIES AND APPLICATIONS, PT I, 2011, 6922 : 224 - +
  • [5] Design of fuzzy controller based on particle swarm optimization
    Hao, Wan-Jun
    Qiang, Wen-Yi
    Chai, Qing-Xuan
    Hu, Lin-Xian
    [J]. Kongzhi yu Juece/Control and Decision, 2007, 22 (05): : 585 - 588
  • [6] A particle swarm optimization-based method for multiobjective design optimizations
    Ho, SL
    Yang, SY
    Ni, GZ
    Lo, EWC
    Wong, HC
    [J]. IEEE TRANSACTIONS ON MAGNETICS, 2005, 41 (05) : 1756 - 1759
  • [7] Multiobjective Particle Swarm Optimization for Feature Selection With Fuzzy Cost
    Hu, Ying
    Zhang, Yong
    Gong, Dunwei
    [J]. IEEE TRANSACTIONS ON CYBERNETICS, 2021, 51 (02) : 874 - 888
  • [8] Fuzzy Multiobjective Irrigation Planning Using Particle Swarm Optimization
    Morankar, D. V.
    Raju, K. Srinivasa
    Vasan, A.
    AshokaVardhan, L.
    [J]. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2016, 142 (08) : 05016004
  • [9] Multiobjective Optimization of Switched Reluctance Motors Based on Design of Experiments and Particle Swarm Optimization
    Ma, Cong
    Qu, Liyan
    [J]. IEEE TRANSACTIONS ON ENERGY CONVERSION, 2015, 30 (03) : 1144 - 1153
  • [10] Strength Learning Particle Swarm Optimization for Multiobjective Multirobot Task Scheduling
    Liu, Xiao-Fang
    Fang, Yongchun
    Zhan, Zhi-Hui
    Zhang, Jun
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 53 (07): : 4052 - 4063
12345