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Adaptive Global Sliding Mode Controller Design for Perturbed DC-DC Buck Converters

Author

Listed:
  • Saleh Mobayen

    (Department of Electrical Engineering, University of Zanjan, Zanjan 4537138791, Iran
    Future Technology Research Center, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan
    These authors contributed equally to this work.)

  • Farhad Bayat

    (Department of Electrical Engineering, University of Zanjan, Zanjan 4537138791, Iran
    These authors contributed equally to this work.)

  • Chun-Chi Lai

    (Bachelor Program in Interdisciplinary Studies, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan)

  • Asghar Taheri

    (Department of Electrical Engineering, University of Zanjan, Zanjan 4537138791, Iran)

  • Afef Fekih

    (Electrical and Computer Engineering Department, University of Louisiana at Lafayette, Lafayette, LA 70504, USA)

Abstract

This paper proposes a novel adaptive intelligent global sliding mode control for the tracking control of a DC-DC buck converter with time-varying uncertainties/disturbances. The proposed control law is formulated using a switching surface that eliminates the reaching phase and ensures the existence of the sliding action from the start. The control law is derived based on the Lyapunov stability theory. The effectiveness of the proposed approach is illustrated via high-fidelity simulations by means of Simscape simulation environment in MATLAB. Satisfactory tracking accuracy, efficient suppression of the chattering phenomenon in the control input, and high robustness against uncertainties/disturbances are among the attributes of the proposed control approach.

Suggested Citation

  • Saleh Mobayen & Farhad Bayat & Chun-Chi Lai & Asghar Taheri & Afef Fekih, 2021. "Adaptive Global Sliding Mode Controller Design for Perturbed DC-DC Buck Converters," Energies, MDPI, vol. 14(5), pages 1-12, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:5:p:1249-:d:505409
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    References listed on IDEAS

    as
    1. Yundi Chu & Juntao Fei, 2015. "Adaptive Global Sliding Mode Control for MEMS Gyroscope Using RBF Neural Network," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-9, March.
    2. Yigeng Huangfu & Shengrong Zhuo & Akshay Kumar Rathore & Elena Breaz & Babak Nahid-Mobarakeh & Fei Gao, 2016. "Super-Twisting Differentiator-Based High Order Sliding Mode Voltage Control Design for DC-DC Buck Converters," Energies, MDPI, vol. 9(7), pages 1-17, June.
    3. Juan A. Garriga-Castillo & Hugo Valderrama-Blavi & José A. Barrado-Rodrigo & Àngel Cid-Pastor, 2019. "Analysis of Sliding-Mode Controlled Impedance Matching Circuits for Inductive Harvesting Devices," Energies, MDPI, vol. 12(20), pages 1-24, October.
    4. Yuri B. Shtessel & Malek Ghanes & Roshini S. Ashok, 2020. "Hydrogen Fuel Cell and Ultracapacitor Based Electric Power System Sliding Mode Control: Electric Vehicle Application," Energies, MDPI, vol. 13(11), pages 1-20, June.
    5. He Zhang & Liang Ge & Mingjiang Shi & Qing Yang, 2014. "Research of Compound Control for DC Motor System Based on Global Sliding Mode Disturbance Observer," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-7, March.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Katarzyna Adamiak & Andrzej Bartoszewicz, 2021. "New Time-Varying Sliding Surface for Switching Type Quasi-Sliding Mode Control," Energies, MDPI, vol. 14(13), pages 1-20, June.
    2. Katarzyna Adamiak & Andrzej Bartoszewicz, 2022. "Novel Power-Rate Reaching Law for Quasi-Sliding Mode Control," Energies, MDPI, vol. 15(15), pages 1-14, July.
    3. Eduardo Campos-Mercado & Edwin Fernando Mendoza-Santos & Jorge Antonio Torres-Muñoz & Edwin Román-Hernández & Víctor Iván Moreno-Oliva & Quetzalcoatl Hernández-Escobedo & Alberto-Jesus Perea-Moreno, 2021. "Nonlinear Controller for the Set-Point Regulation of a Buck Converter System," Energies, MDPI, vol. 14(18), pages 1-20, September.
    4. Mateusz Pietrala & Piotr Leśniewski & Andrzej Bartoszewicz, 2021. "Sliding Mode Control with Minimization of the Regulation Time in the Presence of Control Signal and Velocity Constraints," Energies, MDPI, vol. 14(10), pages 1-23, May.
    5. Katarzyna Adamiak & Andrzej Bartoszewicz, 2021. "Reference Trajectory Based Quasi-Sliding Mode with Event-Triggered Control," Energies, MDPI, vol. 14(21), pages 1-13, November.
    6. Salah Beni Hamed & Mouna Ben Hamed & Lassaad Sbita, 2022. "Robust Voltage Control of a Buck DC-DC Converter: A Sliding Mode Approach," Energies, MDPI, vol. 15(17), pages 1-21, August.
    7. Yashar Mousavi & Geraint Bevan & Ibrahim Beklan Küçükdemiral & Afef Fekih, 2021. "Maximum Power Extraction from Wind Turbines Using a Fault-Tolerant Fractional-Order Nonsingular Terminal Sliding Mode Controller," Energies, MDPI, vol. 14(18), pages 1-16, September.
    8. Dobroslav Kováč & Tibor Vince & Matej Bereš & Ján Molnár & Jozef Dziak & Patrik Jacko & Irena Kováčová, 2022. "A Universal PSpice Simulation Model of a Switched Buck Voltage Regulator," Energies, MDPI, vol. 15(21), pages 1-19, November.
    9. Pawel Latosinski & Andrzej Bartoszewicz, 2023. "Sliding Mode Controllers in Energy Systems and Other Applications," Energies, MDPI, vol. 16(3), pages 1-4, January.
    10. Shafqat Ali & Muhammad Taskeen Raza & Ghulam Abbas & Nasim Ullah & Sattam Al Otaibi & Hao Luo, 2022. "Sliding Mode Observer-Based Fault Detection in Continuous Time Linear Switched Systems," Energies, MDPI, vol. 15(3), pages 1-15, February.
    11. Habib Benbouhenni & Nicu Bizon, 2021. "Third-Order Sliding Mode Applied to the Direct Field-Oriented Control of the Asynchronous Generator for Variable-Speed Contra-Rotating Wind Turbine Generation Systems," Energies, MDPI, vol. 14(18), pages 1-20, September.

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