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Design a robust quantitative feedback theory controller for cyber-physical systems: ship course control problem

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
One of the most critical problems in all practical systems is the presence of uncertainties, internal and external disturbances, as well as disturbing noise, which makes the control of the system a challenging task. Another challenge with the physical systems is the possibility of cyber-attacks that the system’s cyber security against them is a critical issue. The systems related to oil and gas industries may also be subjected to cyber-attacks. The subsets of these industries can be mentioned to the oil and gas transmission industry, where ships have a critical role. This paper uses the Quantitative Feedback Theory (QFT) method to design a robust controller for the ship course system, aiming towards desired trajectory tracking. The proposed controller is robust against all uncertainties, internal and external disturbances, noise, and various possible Deception, Stealth, and Denial-of-Service (DOS) attacks. The robust controller for the ship system is designed using the QFT method and the QFTCT toolbox in MATLAB software. Numerical simulations are performed in MATLAB/Simulink for two case studies with disturbances and attacks involving intermittent sinusoidal and random behavior to demonstrate the proposed controller.
Rocznik
Strony
589--605
Opis fizyczny
Bibliogr. 45 poz., rys., wykr., wzory
Twórcy
  • Institute of Automatic Control and Robotics, Faculty of Mechatronics, Warsaw University of Technology, Warsaw, Poland
  • School of Engineering and Information Technology, The University of New South Wales, Canberra, ACT, Australia
autor
  • Institute of Automatic Control and Robotics, Faculty of Mechatronics, Warsaw University of Technology, Warsaw, Poland
  • Department of Electronic and Electrical Engineering, University of Strathclyde Glasgow, United Kingdom
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Uwagi
1. Andrew Ordys acknowledges support from National Agency of Academic Exchange (NAWA), “Polish Returns”, grant No: PPN/PPO/2018/1/00063/U/00001. Ali Soltani Sharif Abadi acknowledges support from Warsaw University of Technology (WUT), grant No: 504440200003
2. Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d729c9f6-9a11-4164-90e6-618f6c8bb8ed
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