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LMI approach-based sampled-data control for uncertain systems with actuator saturation: application to multi-machine power system

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Abstract

This paper is devoted to the topic of robust stabilization for uncertain multi-machine power systems (MMPSs) using input delay-based sampled-data control. The study explores the sampled-data control for a nonlinear MMPS with parametric uncertainties exacerbated with sector saturating actuators. A saturated controller is considered for the system to recover the loss of stability in the continuous time domain. An approach, comprising linear matrix inequality technique and average dwell time method, is exploited, employing proper Lyapunov–Krasovskii functional, to show that the proposed saturated sampled-data control renders exponential stability. More precisely, the existence condition of sampled-data control law is developed in form of linear matrix inequalities. In order to simplify the derivation in main results, Schur complement and Wirtinger inequalities are used. Through the simulation tests on a two-machine infinite bus system model, the effectiveness and robustness of the proposed controller over the time delays and parameter uncertainties are verified.

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Acknowledgements

The work of Srimanta Santra was supported by the Technion fellowship.

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Authors and Affiliations

  1. Faculty of Mechanical Engineering, Technion-Israel Institute of Technology, Haifa, 3200003, Israel

    Srimanta Santra

  2. Department of Mathematics, KCG College of Technology, Chennai, 600097, India

    Maya Joby

  3. Department of Mechanical Engineering, National Cheng Kung University, Tainan, 70101, Taiwan

    M. Sathishkumar

  4. Department of Mathematics, Anna University Regional Office, Coimbatore, 641046, India

    S. Marshal Anthoni

Authors
  1. Srimanta Santra
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  2. Maya Joby
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  3. M. Sathishkumar
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  4. S. Marshal Anthoni
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Correspondence to Maya Joby.

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Santra, S., Joby, M., Sathishkumar, M. et al. LMI approach-based sampled-data control for uncertain systems with actuator saturation: application to multi-machine power system. Nonlinear Dyn 107, 967–982 (2022). https://doi.org/10.1007/s11071-021-06995-y

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