A novel approach to guidance and control system design using genetic-based fuzzy logic model

被引:1
|
作者
Lin, CL [1 ]
Lai, RM [1 ]
机构
[1] Feng Chia Univ, Inst Automat Control Engn, Taichung 40724, Taiwan
关键词
fuzzy logic applications; genetic algorithm (GA); guidance and control (GC); missile;
D O I
10.1109/TCST.2002.1014679
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The proportional navigation guidance law usually guides traditional aerodynamically controlled missiles in the terminal phase. Such design approaches possess little flexibility on the improvement of engagement performance robustness. The Takagi-Sugeno (T-S) fuzzy logic theory and the gain scheduling technique are presented to design guidance and control (GC) parameters over coupled flight conditions. A genetic algorithm also serves as the computing device to determine the consequent function parameters of the fuzzy rules. The proposed design paradigm offers a way to implement simple but robust solutions that cover a wide range of aerodynamic variations. Complete simulation results illustrate the engagement performance and applicability of this design.
引用
收藏
页码:600 / 610
页数:11
相关论文
共 50 条
  • [1] A genetic-based novel fuzzy control design for robots
    Zhao, DB
    Zhu, JY
    ADVANCED DESIGN AND MANUFACTURE IN THE GLOBAL MANUFACTURING ERA, VOL 2, 1997, : 669 - 675
  • [2] Fuzzy Logic and Genetic-Based Algorithm for a Servo Control System
    Torres-Salinas, Hugo
    Rodriguez-Resendiz, Juvenal
    Cruz-Miguel, Edson E.
    Angeles-Hurtado, L. A.
    MICROMACHINES, 2022, 13 (04)
  • [3] Parameter design for a guidance and control system using genetic approach
    Lin, CL
    Lai, RM
    AEROSPACE SCIENCE AND TECHNOLOGY, 2001, 5 (06) : 425 - 434
  • [4] A genetic-based fuzzy logic power system stabilizer for multimachine power systems
    Abido, MA
    AbdelMagid, YL
    SMC '97 CONFERENCE PROCEEDINGS - 1997 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5: CONFERENCE THEME: COMPUTATIONAL CYBERNETICS AND SIMULATION, 1997, : 329 - 334
  • [5] A genetic-based neuro-fuzzy approach for modeling and control of dynamical systems
    Farag, WA
    Quintana, VH
    Lambert-Torres, G
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 1998, 9 (05): : 756 - 767
  • [6] Effective design of active suspension system using fuzzy logic control approach
    Avesh M.
    Srivastava R.
    Sharma R.C.
    Sharma N.
    International Journal of Vehicle Structures and Systems, 2019, 11 (05) : 536 - 539
  • [7] Genetic-based sliding mode fuzzy controller design
    Wong, Ching-Chang
    Huang, Bing-Chyi
    Lai, Hung-Ren
    Tamkang Journal of Science and Engineering, 2001, 4 (03): : 165 - 172
  • [8] Genetic-based fuzzy control for automotive active suspensions
    Moon, SY
    Kwon, WH
    FUZZ-IEEE '96 - PROCEEDINGS OF THE FIFTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, 1996, : 923 - 929
  • [9] Design of PMSM Control System Based on Fuzzy Logic
    Cui, Jiefan
    Mu, Gang
    Fu, Yue
    ICEMS 2008: PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS, VOLS 1- 8, 2008, : 1037 - 1041
  • [10] A new approach to design of an adaptive fuzzy logic control system
    Novakovic, B
    Vranjes, B
    Novakovic, D
    1998 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5, 1998, : 1922 - 1927