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
Link To Document :
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