DocumentCode :
2483028
Title :
Study on lateral jet ignition strategy for blend-control missile based on fuzzy neural network
Author :
Xie, Zenghui ; Liu, Zhanchen ; Wang, Jian ; Zeng, Xianwei
Author_Institution :
Eng. Inst., Air Force Eng. Univ., Xi´´an
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
2460
Lastpage :
2463
Abstract :
Ignition strategy of lateral jet was the key to air-to-air missile with lateral thrust and aerodynamic blend-control. According to the missile fact, by seeking to regulate engine distribution and make right ignition time and ignition logic, the total output of lateral thrust subsystem could be adjusted in the case of the output of single engine was constant. Thus responding rate of missile overload was quickened at the furthest, maneuverability and hit precision of missile was improved. At the same time, the ignition controller of lateral thrust subsystem was designed based on fuzzy RBF network. We can carry out control without mathematics mode. The validity of controller is proved by the result of simulation.
Keywords :
aerodynamics; fuzzy control; fuzzy neural nets; ignition; jets; missile control; neurocontrollers; radial basis function networks; aerodynamic blend-control; air-to-air missile; blend-control missile; fuzzy RBF network; fuzzy neural network; lateral jet ignition strategy; lateral thrust subsystem; Automation; Electronic mail; Engines; Fuzzy control; Fuzzy neural networks; Ignition; Intelligent control; Missiles; Niobium; Radial basis function networks; fuzzy RBF network; ignition strategy; missile overload;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4593309
Filename :
4593309
Link To Document :
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