General Fuzzified CMAC Based Model Reference Adaptive Control for Ship Steering

Author

Shen, Zhipeng ; GUO, Chen ; Li, Hui

Author_Institution

Sch. of Autom. & Electr. Eng., Dalian Maritime Univ.

fYear

2005

fDate

27-29 June 2005

Firstpage

1257

Lastpage

1262

Abstract

The application of CMAC control techniques for improving the performance of ship steering is discussed. Combining CMAC addressing schemes with fuzzy logic idea, a general fuzzified CMAC (GFAC) is proposed, in which the fuzzy membership functions are utilized as the receptive field functions. Then a GFAC based model reference adaptive controller is described, whose required teacher signals are explicitly constructed by a reference model. Applying the proposed GFAC controller in a ship steering control system, the simulation results show that the ship course can be properly controlled when changing wind and wave exist

Keywords

cerebellar model arithmetic computers; fuzzy set theory; learning (artificial intelligence); model reference adaptive control systems; navigation; neurocontrollers; ships; steering systems; fuzzified CMAC; fuzzy logic; fuzzy membership functions; model reference adaptive control; receptive field functions; ship course control; ship steering control system; teacher signals; Adaptive control; Automation; Control system synthesis; Control systems; Fuzzy control; Fuzzy logic; Marine vehicles; Motion control; Nonlinear control systems; Velocity control;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation

Conference_Location

Limassol

ISSN

2158-9860

Print_ISBN

0-7803-8936-0

Type

conf

DOI

10.1109/.2005.1467196

Filename

1467196