DocumentCode
774085
Title
A novel approach to guidance and control system design using genetic-based fuzzy logic model
Author
Lin, Chun-Liang ; Lai, Rei-Min
Author_Institution
Inst. of Autom. Control Eng., Feng Chia Univ., Taichung, Taiwan
Volume
10
Issue
4
fYear
2002
fDate
7/1/2002 12:00:00 AM
Firstpage
600
Lastpage
610
Abstract
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
Keywords
control system synthesis; fuzzy control; genetic algorithms; missile guidance; optimal control; proportional control; robust control; GA; T-S fuzzy logic theory; Takagi-Sugeno fuzzy logic theory; aerodynamic variations; aerodynamically controlled missiles; control system design; coupled flight conditions; engagement performance robustness improvement; function parameters; fuzzy rules; gain scheduling; genetic algorithm; genetic-based fuzzy logic model; guidance system design; proportional navigation guidance law; robust solutions; Aerodynamics; Control systems; Fuzzy logic; Genetic algorithms; Missiles; Navigation; Processor scheduling; Proportional control; Robustness; Takagi-Sugeno model;
fLanguage
English
Journal_Title
Control Systems Technology, IEEE Transactions on
Publisher
ieee
ISSN
1063-6536
Type
jour
DOI
10.1109/TCST.2002.1014679
Filename
1014679
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