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Sliding Mode Control Method Based on a Fuzzy Logic System for ROVs with Predefined-Time Convergence and Stability

Author

Listed:
  • Anh Tuan Vo

    (Department of Smart Information and Technology Engineering, Kongju National University, Cheonan 31080, Republic of Korea
    Department of Electrical and Electronic Engineering, The University of Danang-University of Technology and Education, Danang 550000, Vietnam
    These authors contributed equally to this work.)

  • Thanh Nguyen Truong

    (Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan 44610, Republic of Korea
    These authors contributed equally to this work.)

  • Ic-Pyo Hong

    (Department of Smart Information and Technology Engineering, Kongju National University, Cheonan 31080, Republic of Korea
    These authors contributed equally to this work.)

  • Hee-Jun Kang

    (Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan 44610, Republic of Korea
    These authors contributed equally to this work.)

Abstract

This paper presents a predefined-time control approach to address slow convergence and instability in the orbit control of remotely operated vehicles (ROVs). The proposed method introduces tunable predefined-time stability (PTS), allowing precise adjustment of the system’s stability time through configurable parameters, thereby enhancing controller adaptability. A control input system ensures PTS is developed, while a fuzzy logic system (FLS) is employed to estimate unstructured uncertainties and disturbances. This integration improves robustness, reduces chattering, and eliminates singularities, making the approach well suited for systems with incomplete or unknown model data. Comprehensive simulations validate the effectiveness of the proposed method, demonstrating superior performance compared to existing control strategies and highlighting its potential for advanced ROV applications.

Suggested Citation

  • Anh Tuan Vo & Thanh Nguyen Truong & Ic-Pyo Hong & Hee-Jun Kang, 2025. "Sliding Mode Control Method Based on a Fuzzy Logic System for ROVs with Predefined-Time Convergence and Stability," Mathematics, MDPI, vol. 13(10), pages 1-22, May.
    • Handle: RePEc:gam:jmathe:v:13:y:2025:i:10:p:1573-:d:1652970
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    References listed on IDEAS

    as
    1. Thanh Nguyen Truong & Anh Tuan Vo & Hee-Jun Kang, 2024. "A Novel Time Delay Nonsingular Fast Terminal Sliding Mode Control for Robot Manipulators with Input Saturation," Mathematics, MDPI, vol. 13(1), pages 1-25, December.
    2. Zahra Mokhtare & Mai The Vu & Saleh Mobayen & Afef Fekih, 2022. "Design of an LMI-Based Fuzzy Fast Terminal Sliding Mode Control Approach for Uncertain MIMO Systems," Mathematics, MDPI, vol. 10(8), pages 1-12, April.
    3. Yang Wang & Mingshu Chen & Yu Song & Xiaodi Li, 2021. "Terminal Sliding-Mode Control of Uncertain Robotic Manipulator System with Predefined Convergence Time," Complexity, Hindawi, vol. 2021, pages 1-16, June.
    Full references (including those not matched with items on IDEAS)

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