DocumentCode :
1725019
Title :
Joint optimal design of missile guidance and control law for minimizing miss distance
Author :
Xu Youcheng ; Long Huabao
Author_Institution :
Shanghai Inst. of Spaceflight Control Technol., Shanghai, China
fYear :
2013
Firstpage :
5640
Lastpage :
5643
Abstract :
Missile guidance law and control law are separately designed in the real application. This design leads to unsatisfactory performance of the whole guidance and control system. The method of integrating guidance and control has not yet been achieved in engineering practice. This paper proposes a method of joint optimization, aimed to minimize the miss distance, for both guidance and control parameters. That method is based on guidance and control designed separately. A robust sliding mode control law is designed to reduce the chattering through treating the discontinuous part of conventional sliding mode control law into continuous. However, such robust design lowers the guidance accuracy. With regard to the dynamics of missile body, a liner quadratic optimal controller is designed simultaneously. It is hard to design the parameters of the guidance and control for their interactions. A genetic algorithm with global optimization ability was highly used to optimize the parameters of guidance and control system. Simulation result shows that the design meets the expected demand and lowers the miss distance effectively.
Keywords :
control nonlinearities; control system synthesis; genetic algorithms; linear quadratic control; missile guidance; robust control; variable structure systems; vehicle dynamics; chattering; continuous sliding mode control law; control parameters; genetic algorithm; global optimization ability; guidance parameters; joint optimal design; joint optimization; liner quadratic optimal controller; miss distance minimization; missile body dynamics; missile control law; missile guidance; robust design; robust sliding mode control law; Electronic mail; Genetic algorithms; Joints; Missiles; Optimization; Robustness; Sliding mode control; Genetic algorithm; Guidance law; Linear quadratic optimal control; Optimization; Robust sliding mode control; autopilot;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
Type :
conf
Filename :
6640424
Link To Document :
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