Fault Tolerant Control Allocation Scheme for LPV system

Salman Ijaz, Ahmed Nasr, Mirza Tariq Hamayun

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

    Abstract

    This paper proposed a passive fault tolerant control (FTC) approach for the class of linear parameter-varying systems to deal with faults and failures in the actuator channel. The method provided in this study combines the robustness feature of integral sliding mode control (ISMC) and control allocation (CA) obtained through singular value decomposition of the input matrix. The purpose is to effectively handle faults and failures along the entire operating spectrum, which involves various scheduling parameters. This technique is effective because the same baseline controller, initially developed for a nominal system, can deal with a wide range of faults and failures without acquiring fault information. The performance of ISM-FTC is tested on a longitudinal model of aircraft system. Numerical simulations indicate no noticeable difference in tracking performance between nominal and faulty conditions.

    Original languageEnglish
    Title of host publication2024 Australian and New Zealand Control Conference, ANZCC 2024
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages78-83
    Number of pages6
    ISBN (Electronic)9798350314977
    DOIs
    Publication statusPublished - 2024
    Event2024 Australian and New Zealand Control Conference, ANZCC 2024 - Gold Coast, Australia
    Duration: 1 Feb 20242 Feb 2024

    Publication series

    Name2024 Australian and New Zealand Control Conference, ANZCC 2024

    Conference

    Conference2024 Australian and New Zealand Control Conference, ANZCC 2024
    Country/TerritoryAustralia
    CityGold Coast
    Period1/02/242/02/24

    Keywords

    • control allocation
    • fault tolerant control
    • robust control
    • sliding mode control

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Artificial Intelligence
    • Safety, Risk, Reliability and Quality
    • Control and Optimization
    • Modelling and Simulation

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