Reconfigurable control system for ship course-changing/keeping

E. Omerdic, G. N. Roberts, Z. Vukic

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents reconfigurable control system for ship course-changing/keeping. Adaptive neuro-fuzzy inference system (ANFIS) is used to identify a steering gear subsystem (actuator) in order to build an accurate reference model for the fault detection in this non-linear component. The proposed control system uses a compensator for reducing the loss of the control performance produced by faults in the steering gear subsystem. It is shown that the proposed control system is robust to faults in steering gear subsystem.

Original languageEnglish
Title of host publicationIFAC Proceedings Volumes (IFAC-PapersOnline)
EditorsGabriel Ferrate, Eduardo F. Camacho, Luis Basanez, Juan. A. de la Puente
PublisherIFAC Secretariat
Pages361-366
Number of pages6
Edition1
ISBN (Print)9783902661746
DOIs
Publication statusPublished - 2002
Externally publishedYes
Event15th World Congress of the International Federation of Automatic Control, 2002 - Barcelona, Spain
Duration: 21 Jul 200226 Jul 2002

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number1
Volume35
ISSN (Print)1474-6670

Conference

Conference15th World Congress of the International Federation of Automatic Control, 2002
Country/TerritorySpain
CityBarcelona
Period21/07/0226/07/02

Keywords

  • Fault detection
  • Fault tolerant system
  • Non-linear system identification

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