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Sliding mode controller of hydraulic generator regulating system based on the input/output feedback linearization method

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  • Yuan, Xiaohui
  • Chen, Zhihuan
  • Yuan, Yanbin
  • Huang, Yuehua
  • Li, Xianshan
  • Li, Wenwu

Abstract

An input/output feedback linearization method based sliding mode control strategy is proposed for the hydraulic generator regulating system (HGRS) with external disturbance and system uncertainties to enhance its response. Based on the input/output feedback linearization method, the relationship between reference output and control output is established. Then a sliding mode controller is designed to reject the influence of external disturbance and system uncertainties on the system performance and compelled the current dynamic output exponentially stabilized at their reference states. In order to eliminate the inherent harmful chattering phenomenon of sliding mode controller, a high-slope saturation function is used to replace the discontinuous sign function in the sliding mode manifold design. Several simulations with respect to the dynamic analysis of HGRS system without controller, fixed point stabilization, periodic orbit tracking and robustness test against random noises have been carried out to test the effectiveness of the proposed controller technique. The results show that the proposed sliding mode controller improves the nonlinear HGRS system performance with an accurate precision and a shorter time in all cases.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:matcom:v:119:y:2016:i:c:p:18-34
    DOI: 10.1016/j.matcom.2015.08.020
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    1. Lalili, D. & Mellit, A. & Lourci, N. & Medjahed, B. & Berkouk, E.M., 2011. "Input output feedback linearization control and variable step size MPPT algorithm of a grid-connected photovoltaic inverter," Renewable Energy, Elsevier, vol. 36(12), pages 3282-3291.
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    3. Orlowska-Kowalska, T. & Tarchala, G. & Dybkowski, M., 2014. "Sliding-mode direct torque control and sliding-mode observer with a magnetizing reactance estimator for the field-weakening of the induction motor drive," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 98(C), pages 31-45.
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    Cited by:

    1. Huang, Sunhua & Xiong, Linyun & Wang, Jie & Li, Penghan & Wang, Ziqiang & Ma, Meilng, 2020. "Fixed-time synergetic controller for stabilization of hydraulic turbine regulating system," Renewable Energy, Elsevier, vol. 157(C), pages 1233-1242.
    2. Xu, Beibei & Zhang, Jingjing & Egusquiza, Mònica & Chen, Diyi & Li, Feng & Behrens, Paul & Egusquiza, Eduard, 2021. "A review of dynamic models and stability analysis for a hydro-turbine governing system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    3. 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.
    4. Zhu, Daoyi & Guo, Wencheng, 2019. "Critical sectional area of surge chamber considering nonlinearity of head loss of diversion tunnel and steady output of turbine," Chaos, Solitons & Fractals, Elsevier, vol. 127(C), pages 165-172.
    5. 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.
    6. Jianzhong Zhou & Zhigao Zhao & Chu Zhang & Chaoshun Li & Yanhe Xu, 2017. "A Real-Time Accurate Model and Its Predictive Fuzzy PID Controller for Pumped Storage Unit via Error Compensation," Energies, MDPI, vol. 11(1), pages 1-24, December.
    7. Liu, Yang & Guo, Wencheng, 2021. "Multi-frequency dynamic performance of hydropower plant under coupling effect of power grid and turbine regulating system with surge tank," Renewable Energy, Elsevier, vol. 171(C), pages 557-581.
    8. 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.
    9. Bicheng Guo & Jiang Guo, 2019. "Feedback Linearization and Reaching Law Based Sliding Mode Control Design for Nonlinear Hydraulic Turbine Governing System," Energies, MDPI, vol. 12(12), pages 1-19, June.
    10. Kanchanaharuthai, Adirak & Mujjalinvimut, Ekkachai, 2022. "Fixed-time command-filtered backstepping control design for hydraulic turbine regulating systems," Renewable Energy, Elsevier, vol. 184(C), pages 1091-1103.

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