DocumentCode :
2598521
Title :
An improved fuzzy logic controller for ship steering based on ior operator and neural rule extraction
Author :
Hamid, Ibraheem ; Senousy, Hamada ; Abou-Elmakarem, Mahmoud
Author_Institution :
Fac. of Eng., Alexandria Univ., Alexandria
fYear :
2008
fDate :
25-27 Nov. 2008
Firstpage :
392
Lastpage :
397
Abstract :
In this paper a fuzzy logic controller for ship steering is designed and simulated. The logic ldquoiorrdquo operator as well as wave filtering are used to obtain improved control performance as well as to get over the chattering problem associated with traditional fuzzy controllers. Moreover, an automatic neural networks-based rule generation and justification strategy is suggested to alleviate the need of manual rule extraction and pruning. This has the advantages of near-optimal easy rule generation as well as avoiding errors due to experts overlooking certain aspects of the control problem.
Keywords :
filtering theory; fuzzy control; knowledge acquisition; neural nets; ships; steering systems; automatic neural networks; chattering problem; fuzzy logic controller; ior operator; justification strategy; neural rule extraction; rule extraction; rule generation; ship steering; wave filtering; Automatic control; Automatic generation control; Control systems; Error correction; Fuzzy control; Fuzzy logic; Marine vehicles; Motion control; PD control; Underwater vehicles; Artificial Neural Networks (ANNs); Fuzzy Rule Base Systems (FRBS); Fuzzy logic (FL); Ior operator; Nomotto model; Ship steering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Engineering & Systems, 2008. ICCES 2008. International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-2115-2
Electronic_ISBN :
978-1-4244-2116-9
Type :
conf
DOI :
10.1109/ICCES.2008.4773034
Filename :
4773034
Link To Document :
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