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Control Research on Active Pitch Control System for Horizontal-Axis Tidal-Current Turbine Generator

Author

Listed:
  • Fuli Zhang

    (School of Physics, Northeast Normal University, 5268 Renmin Street, Changchun 130024, China
    Jilin Provincial Key Laboratory of Advanced Energy Development and Application Innovation, 5268 Renmin Street, Changchun 130024, China)

  • Wanqiang Zhu

    (School of Physics, Northeast Normal University, 5268 Renmin Street, Changchun 130024, China
    Jilin Provincial Key Laboratory of Advanced Energy Development and Application Innovation, 5268 Renmin Street, Changchun 130024, China)

  • Shuai Zu

    (School of Physics, Northeast Normal University, 5268 Renmin Street, Changchun 130024, China
    Jilin Provincial Key Laboratory of Advanced Energy Development and Application Innovation, 5268 Renmin Street, Changchun 130024, China)

  • Xueming Zhang

    (School of Physics, Northeast Normal University, 5268 Renmin Street, Changchun 130024, China
    Jilin Provincial Key Laboratory of Advanced Energy Development and Application Innovation, 5268 Renmin Street, Changchun 130024, China)

  • Jianmei Chen

    (School of Physics, Northeast Normal University, 5268 Renmin Street, Changchun 130024, China
    Jilin Provincial Key Laboratory of Advanced Energy Development and Application Innovation, 5268 Renmin Street, Changchun 130024, China)

  • Baigong Wu

    (Institute of Marine Equipment, Jiangsu University of Science and Technology, Zhenjiang 212000, China)

  • Jipeng Huang

    (School of Physics, Northeast Normal University, 5268 Renmin Street, Changchun 130024, China
    Jilin Provincial Key Laboratory of Advanced Energy Development and Application Innovation, 5268 Renmin Street, Changchun 130024, China)

Abstract

Tidal energy, as a sustainable and environmentally friendly energy source, has attracted widespread attention in recent years. The technology of blade active pitch control is the key technology to cope with tidal velocity change and improve the stability and efficiency of horizontal-axis tidal generator sets. When solving the problem of speed variation, the core algorithm is the key to ensuring stable operation and improving the efficiency of power generation. When traditional PID is used to manage complex systems, the controller faces the challenge of complex parameter tuning and insufficient robustness. The application of a particle swarm optimization (PSO)–PID controller and fuzzy PID controller in the independent interval system of tidal generator sets is introduced for the first time in this paper. This paper presents a comparative study of unified pitch control and independent pitch control (using electric pitch control) for a three-rotor tidal generator with a rated capacity of 300 kw and a blade radius of 8.5 m. Simulation was carried out on the MATLAB/Simulink (2023a) platform to evaluate the performance of the two controllers under different flow rates and interference conditions. The results show that the PSO-PID controller has significant advantages in reducing overshoot, speeding up response times, and improving power generation efficiency. At the same time, the PSO-PID controller also shows superior performance in pitch angle adjustment frequency and generator output power and realizes timely and effective system stability control.

Suggested Citation

  • Fuli Zhang & Wanqiang Zhu & Shuai Zu & Xueming Zhang & Jianmei Chen & Baigong Wu & Jipeng Huang, 2025. "Control Research on Active Pitch Control System for Horizontal-Axis Tidal-Current Turbine Generator," Energies, MDPI, vol. 18(4), pages 1-25, February.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:4:p:764-:d:1585617
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    References listed on IDEAS

    as
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    2. Deb, Mithun & Yang, Zhaoqing & Haas, Kevin & Wang, Taiping, 2024. "Hydrokinetic tidal energy resource assessment following international electrotechnical commission guidelines," Renewable Energy, Elsevier, vol. 229(C).
    3. Yong Ma & Aiming Zhang & Lele Yang & Chao Hu & Yue Bai, 2019. "Investigation on Optimization Design of Offshore Wind Turbine Blades based on Particle Swarm Optimization," Energies, MDPI, vol. 12(10), pages 1-18, May.
    4. Mellouk, Lamyae & Ghazi, M. & Aaroud, A. & Boulmalf, M. & Benhaddou, D. & Zine-Dine, K., 2019. "Design and energy management optimization for hybrid renewable energy system- case study: Laayoune region," Renewable Energy, Elsevier, vol. 139(C), pages 621-634.
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