DocumentCode :
527484
Title :
Study on fuzzy neural network-based ship autopilot
Author :
Wu, Yanxiang ; Xue, Minjie ; Wu, Pengjie
Author_Institution :
Electr. Eng. Dept., Shanghai Ocean Univ., Shanghai, China
Volume :
3
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
1393
Lastpage :
1396
Abstract :
This paper proposes a new ship autopilot control system which consists of the Bang-Bang controller and the fuzzy neural controller. Considering the nonlinearity and time varying parameters of ship steering, the proposed method provides a high precision control system. Simulation results show that the ship autopilot based on the fuzzy neural network outperforms the fuzzy ship autopilot.
Keywords :
bang-bang control; fuzzy control; neurocontrollers; ships; time-varying systems; bang-bang controller; fuzzy neural controller; high precision control system; nonlinearity parameters; ship autopilot control system; ship steering; time varying parameters; Control systems; Fuzzy control; Fuzzy neural networks; Interference; Marine vehicles; Niobium; Simulation; Bang-Bang control; autopilot; fuzzy neural network; ship; ship steering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
Type :
conf
DOI :
10.1109/ICNC.2010.5582965
Filename :
5582965
Link To Document :
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