DocumentCode :
550790
Title :
Thruster failure detection of UUV based on self-adaptive fusion
Author :
Yan Zheping ; Zhao Zhi ; Chi Dongnan ; Chen Tao
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
fYear :
2011
fDate :
22-24 July 2011
Firstpage :
4253
Lastpage :
4258
Abstract :
An algorithm of thruster failure detection of UUV based on self-adaptive fuzzy fusion is proposed in this paper. The algorithm fuses the forecasting current into the theory current to obtain the fusion current. The forecasting current is obtained according to historical current using the gray forecasting. The theory current is obtained according to experiment data using the fitting method between controlling voltage and armature current. The fuzzy theory is used to realize a self-adaptive fusion between theory current and forecasting current. Based on the fusion current, thruster failures of UUV can be detected and classified in real time. Lake experiments show the validity of the method presented.
Keywords :
autonomous underwater vehicles; electric current control; failure (mechanical); forecasting theory; fuzzy set theory; mobile robots; voltage control; UUV; armature current control; fitting method; forecasting current; fuzzy theory; gray forecasting; real time classification; real time detection; self adaptive fuzzy fusion current; theory current; thruster failure detection; voltage control; Electronic mail; Forecasting; Fuses; Lakes; Real time systems; Underwater vehicles; Voltage control; Failure Detection; Fuzzy Theory; Gray Forecasting; Self-Adaptive Fusion; Unmanned Underwater Vehicle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
ISSN :
1934-1768
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
Type :
conf
Filename :
6001130
Link To Document :
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