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An Acceleration-Observer-Based Position and Load Torque Estimation Method for Wind Turbine with Sensor Faults

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Listed:
  • Ziyun Wu

    (School of Mechano-Electronic Engineering, Xidian University, Xi’an 710071, China)

  • Xuetong Wang

    (School of Mechano-Electronic Engineering, Xidian University, Xi’an 710071, China)

  • Na Ren

    (Ming Yang Smart Energy Group Limited, Zhongshan 528437, China)

  • Guangqi Li

    (School of Mechano-Electronic Engineering, Xidian University, Xi’an 710071, China)

  • Zhiyong Dai

    (School of Mechano-Electronic Engineering, Xidian University, Xi’an 710071, China)

Abstract

Speed, position, and load torque information are crucial for the stable control of wind turbines, and existing control methods heavily rely on position and torque sensors to obtain these parameters. However, under the extreme scenario of sensor faults, the performance of these control methods deteriorates significantly, often leading to instability. In this paper, an acceleration-observer-based position and load torque estimation method is proposed for wind turbines, which effectively mitigates the impact of sensor faults. The position, speed, and acceleration estimators are developed based on current and voltage sensors information instead of position and load torque sensors. Then, the load torque can be calculated directly through the current and acceleration information. Thereby, the proposed method reduces reliance on position and load torque sensors for stable control and enables effective load torque estimation even under sensor faults. Rigorous theoretical analysis is provided to show that the proposed estimation method is stable and can effectively estimate position, speed, acceleration, and load torque information. Our numerical simulation results demonstrate that the proposed method exhibits excellent dynamics, accuracy, and robustness under various operating conditions.

Suggested Citation

  • Ziyun Wu & Xuetong Wang & Na Ren & Guangqi Li & Zhiyong Dai, 2025. "An Acceleration-Observer-Based Position and Load Torque Estimation Method for Wind Turbine with Sensor Faults," Energies, MDPI, vol. 18(11), pages 1-13, May.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:11:p:2787-:d:1665531
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    References listed on IDEAS

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    3. Chaoyu Zhang & Jiabin Li & Shiyi Liu & Peng Hu & Jiangzhe Feng & Haoyang Ren & Ruizhe Zhang & Jiaoxin Jia, 2024. "Coordinated Frequency Modulation Control Strategy of Wind Power and Energy Storage Considering Mechanical Load Optimization," Energies, MDPI, vol. 17(13), pages 1-14, June.
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