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Design of Adaptive Fuzzy Sliding-Mode Control for High-Performance Islanded Inverter in Micro-Grid

Author

Listed:
  • Yan Yang

    (School of Automation, Huaiyin Institute of Technology, Huaian 223003, China)

  • Yeqin Wang

    (School of Automation, Huaiyin Institute of Technology, Huaian 223003, China)

  • Weixing Zhang

    (School of Automation, Huaiyin Institute of Technology, Huaian 223003, China)

  • Zhenghao Li

    (School of Automation, Huaiyin Institute of Technology, Huaian 223003, China)

  • Rui Liang

    (School of Automation, Huaiyin Institute of Technology, Huaian 223003, China
    School of Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China)

Abstract

In this paper, an adaptive fuzzy sliding-mode control (AFSMC) system is investigated for an islanded inverter to achieve a high-performance power supply. A sliding mode control (SMC) law is designed initially to obtain both the voltage tracking error and the current tracking error of the inverter involved, to realize both the output-voltage regulation and the current protection with global stability. Moreover, to deal with uncertainties in the practical inverter system without the chattering phenomenon, an adaptive fuzzy system embedded with a self-adjustive translation width is developed to replace the switch term of the SMC. In addition, the adaptation laws, derived from the Lyapunov stability theorem, adjust the AFSMC parameters online to guarantee optimal and robust performance. Furthermore, the superior control performance of the proposed AFSMC is verified by a numerical simulation in MATLAB, producing experimental results on the prototype in comparison with the conventional SMC.

Suggested Citation

  • Yan Yang & Yeqin Wang & Weixing Zhang & Zhenghao Li & Rui Liang, 2022. "Design of Adaptive Fuzzy Sliding-Mode Control for High-Performance Islanded Inverter in Micro-Grid," Energies, MDPI, vol. 15(23), pages 1-25, December.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:9154-:d:991927
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    References listed on IDEAS

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    1. Zheng Yin & Cungang Hu & Kui Luo & Tao Rui & Zhuangzhuang Feng & Geye Lu & Pinjia Zhang, 2022. "A Novel Model-Free Predictive Control for T-Type Three-Level Grid-Tied Inverters," Energies, MDPI, vol. 15(18), pages 1-15, September.
    2. Mojtaba Ahmadieh Khanesar & David Branson, 2022. "Robust Sliding Mode Fuzzy Control of Industrial Robots Using an Extended Kalman Filter Inverse Kinematic Solver," Energies, MDPI, vol. 15(5), pages 1-17, March.
    3. Khaizaran Abdulhussein Al Sumarmad & Nasri Sulaiman & Noor Izzri Abdul Wahab & Hashim Hizam, 2022. "Energy Management and Voltage Control in Microgrids Using Artificial Neural Networks, PID, and Fuzzy Logic Controllers," Energies, MDPI, vol. 15(1), pages 1-22, January.
    4. Daniele Mestriner & Alessandro Rosini & Iris Xhani & Andrea Bonfiglio & Renato Procopio, 2022. "Primary Voltage and Frequency Regulation in Inverter Based Islanded Microgrids through a Model Predictive Control Approach," Energies, MDPI, vol. 15(14), pages 1-19, July.
    5. Tien Hai Nguyen & Kyeong-Hwa Kim, 2017. "Finite Control Set–Model Predictive Control with Modulation to Mitigate Harmonic Component in Output Current for a Grid-Connected Inverter under Distorted Grid Conditions," Energies, MDPI, vol. 10(7), pages 1-25, July.
    6. Azab, Mohamed, 2021. "A finite control set model predictive control scheme for single-phase grid-connected inverters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    7. Kakran, Sandeep & Chanana, Saurabh, 2018. "Smart operations of smart grids integrated with distributed generation: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 524-535.
    8. Sivakavi Naga Venkata Bramareswara Rao & Yellapragada Venkata Pavan Kumar & Darsy John Pradeep & Challa Pradeep Reddy & Aymen Flah & Habib Kraiem & Jawad F. Al-Asad, 2022. "Power Quality Improvement in Renewable-Energy-Based Microgrid Clusters Using Fuzzy Space Vector PWM Controlled Inverter," Sustainability, MDPI, vol. 14(8), pages 1-20, April.
    9. Dehghani, Moslem & Niknam, Taher & Ghiasi, Mohammad & Baghaee, Hamid Reza & Blaabjerg, Frede & Dragicevǐć, Tomislav & Rashidi, Mohammadrashid, 2022. "Adaptive backstepping control for master-slave AC microgrid in smart island," Energy, Elsevier, vol. 246(C).
    10. Muhammad Awais Rafiq & Abasin Ulasyar & Waqar Uddin & Haris Sheh Zad & Abraiz Khattak & Kamran Zeb, 2022. "Design and Control of a Quasi-Z Source Multilevel Inverter Using a New Reaching Law-Based Sliding Mode Control," Energies, MDPI, vol. 15(21), pages 1-17, October.
    11. Ahmad Alzahrani & Senthil Kumar Ramu & Gunapriya Devarajan & Indragandhi Vairavasundaram & Subramaniyaswamy Vairavasundaram, 2022. "A Review on Hydrogen-Based Hybrid Microgrid System: Topologies for Hydrogen Energy Storage, Integration, and Energy Management with Solar and Wind Energy," Energies, MDPI, vol. 15(21), pages 1-32, October.
    12. Yalin Liang & Yuyao He & Yun Niu, 2022. "Robust Errorless-Control-Targeted Technique Based on MPC for Microgrid with Uncertain Electric Vehicle Energy Storage Systems," Energies, MDPI, vol. 15(4), pages 1-23, February.
    13. Jiming Lin & Teng Zou & Feng Zhang & Yong Zhang, 2022. "Yaw Stability Research of the Distributed Drive Electric Bus by Adaptive Fuzzy Sliding Mode Control," Energies, MDPI, vol. 15(4), pages 1-16, February.
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