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A New Integral Sliding Mode Control for Hydraulic Turbine Governing Systems Based on Nonlinear Disturbance Observer Compensation

Author

Listed:
  • Qi Yang

    (School of Metallurgy and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, China)

  • Jing Qian

    (School of Metallurgy and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, China)

  • Jia Li

    (School of Metallurgy and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, China
    Xi’an Xuji Power Electronics Technology Co., Ltd., Xi’an 710075, China)

  • Yidong Zou

    (School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China)

  • Danning Tian

    (School of Global Public Health, New York University, New York, NY 10012, USA)

  • Yun Zeng

    (School of Metallurgy and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, China)

  • Yan Long

    (School of Metallurgy and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, China)

  • Ganyuan Zhang

    (School of Metallurgy and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, China)

Abstract

To address the problem that the hydraulic turbine governing system (HTGS) exhibits poor anti-disturbance ability and instability phenomena under traditional PID control, an improved new integral sliding mode control strategy based on a nonlinear disturbance observer (NISMC-NDO) is designed for the HTGS. This study first establishes a nonlinear mathematical model of HTGS and analyzes its dynamic characteristics. The uncertain disturbances of the system are then accurately estimated using a disturbance observer, and a suitable nonlinear gain function is designed to achieve feedforward compensation of the controller by ensuring that the disturbance observation error converges. To design the controller, a proportional-integral sliding mode surface is selected, and the sliding mode exponential convergence law is improved by using the nonlinear power combination function f a l instead of s i g n or s a t . This improves the system’s stability, convergence speed, and tracking accuracy. The simulation results demonstrate that the equilibrium point can be quickly reached and stabilized by the HTGS with chaotic phenomena under the influence of NISMC-NDO. Furthermore, this paper also verifies that the designed controller has good dynamic performance. The findings of this study can serve as a valuable reference for optimizing the operation of hydraulic turbine regulation systems in control applications.

Suggested Citation

  • Qi Yang & Jing Qian & Jia Li & Yidong Zou & Danning Tian & Yun Zeng & Yan Long & Ganyuan Zhang, 2023. "A New Integral Sliding Mode Control for Hydraulic Turbine Governing Systems Based on Nonlinear Disturbance Observer Compensation," Sustainability, MDPI, vol. 15(17), pages 1-21, August.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:17:p:12810-:d:1224204
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    References listed on IDEAS

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    1. Chen, Zhihuan & Yuan, Xiaohui & Yuan, Yanbin & Lei, Xiaohui & Zhang, Binqiao, 2019. "Parameter estimation of fuzzy sliding mode controller for hydraulic turbine regulating system based on HICA algorithm," Renewable Energy, Elsevier, vol. 133(C), pages 551-565.
    2. Yu, Xiaodong & Yang, Xiuwei & Yu, Chao & Zhang, Jian & Tian, Yuan, 2021. "Direct approach to optimize PID controller parameters of hydropower plants," Renewable Energy, Elsevier, vol. 173(C), pages 342-350.
    3. Yuan, Xiaohui & Chen, Zhihuan & Yuan, Yanbin & Huang, Yuehua & Li, Xianshan & Li, Wenwu, 2016. "Sliding mode controller of hydraulic generator regulating system based on the input/output feedback linearization method," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 119(C), pages 18-34.
    4. Zou, Yidong & Hu, Wenqing & Xiao, Zhihuai & Wang, Yunhe & Chen, Jinbao & Zheng, Yang & Qian, Jing & Zeng, Yun, 2023. "Design of intelligent nonlinear robust controller for hydro-turbine governing system based on state-dynamic-measurement hybrid feedback linearization method," Renewable Energy, Elsevier, vol. 204(C), pages 635-651.
    5. Wei Wang & Leonid Melnyk & Oleksandra Kubatko & Bohdan Kovalov & Luc Hens, 2023. "Economic and Technological Efficiency of Renewable Energy Technologies Implementation," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    6. Guo, Wencheng & Yang, Jiandong, 2017. "Hopf bifurcation control of hydro-turbine governing system with sloping ceiling tailrace tunnel using nonlinear state feedback," Chaos, Solitons & Fractals, Elsevier, vol. 104(C), pages 426-434.
    7. Junyi Li & Qijuan Chen, 2014. "Nonlinear Dynamical Analysis of Hydraulic Turbine Governing Systems with Nonelastic Water Hammer Effect," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-11, June.
    8. Wissem Bahloul & Mohamed Ali Zdiri & Ismail Marouani & Khalid Alqunun & Badr M. Alshammari & Mansoor Alturki & Tawfik Guesmi & Hsan Hadj Abdallah & Kamel Tlijani, 2023. "A Backstepping Control Strategy for Power System Stability Enhancement," Sustainability, MDPI, vol. 15(11), pages 1-21, June.
    9. Kishor, Nand & Saini, R.P. & Singh, S.P., 2007. "A review on hydropower plant models and control," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(5), pages 776-796, June.
    10. Lanzhen Wu & Chen Qian & Yilin Shen & Dongyuan Sun, 2023. "Assessment and Factor Diagnosis of Water Resource Vulnerability in Arid Inland River Basin: A Case Study of Shule River Basin, China," Sustainability, MDPI, vol. 15(11), pages 1-19, June.
    11. Görtz, J. & Aouad, M. & Wieprecht, S. & Terheiden, K., 2022. "Assessment of pumped hydropower energy storage potential along rivers and shorelines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
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