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Diagnosis and Fault-tolerant Control for Ship Station Keeping

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    This paper adresses the design process of diagnosis and fault-tolerant control when the a system should operate despite multiple failures in sensors or actuators. Graph-teory based analysis of systems structure is demonstrated to be a unique design methodology that can cope with the diagnosis design for systems of high complexity, and also analyse the cases of cascaded or multiple faults. The paper takes as example a ship with two CP propellers, rudders and a bow thruster as actuators, and instrumentation with a suite of global position sensors, inertial navigation units and conventional gyro units to provide ship motion information. A salient feature of the design mehod is the ability to analyse cases where faults have occurrred and easily determine where in the faulty system diagnosability and controlability are retained.
    Original languageEnglish
    Title of host publication2005 IEEE International Symposium on Intelligent Control and 13th Mediterranean Conference on Control and Automation
    Volume2
    PublisherIEEE
    Publication date2005
    Pages1385-1390
    ISBN (Print)0-7803-8936-0
    DOIs
    Publication statusPublished - 2005
    Event20th IEEE International Symposium on Intelligent Control and 13th Mediterranean Conference on Control and Automation - Limassol, Cyprus
    Duration: 27 Jun 200529 Jun 2005
    https://ieeexplore.ieee.org/document/1466979

    Conference

    Conference20th IEEE International Symposium on Intelligent Control and 13th Mediterranean Conference on Control and Automation
    Country/TerritoryCyprus
    CityLimassol
    Period27/06/200529/06/2005
    Internet address

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 14 - Life Below Water
      SDG 14 Life Below Water

    Keywords

    • Fault Diagnosis
    • Structural analysis
    • Autonomous systems
    • Fault-tolerant Control
    • Marine Control Systems

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