Advanced and model-based control techniques have become prevalent in modern wind turbine controls in the past decade. These methods are more attractive compared to the commonly used proportional-integral-derivative (PID) controller, as the turbine structural flexibility is increased with multiple and coupled modes. The disturbance accommodating control (DAC) is an effective turbine control approach for the above-rated wind speed region. DAC augments the turbine state-space model with a predefined disturbance waveform model, based on which the controller reduces the impact of wind disturbances on the system output (e.g., rotor speed). However, DAC cannot completely reject the wind disturbance in certain situations, and this results in steady-state regulation errors in the turbine rotor speed and electric power. In this paper, we propose a novel wind turbine pitch control using optimal control theory. The obtained feedback and feedforward control terms function to stabilize the turbine system and reject wind disturbances, respectively, derived systematically based on the Hamilton–Jacobi–Bellman (HJB) equation. Simulation results show that the proposed method achieves desired rotor speed regulation with significantly reduced steady-state errors under turbulent winds, which is simulated on the model of the three-bladed controls advanced research turbine (CART3) using the FAST code.
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February 2019
Research-Article
Optimal Pitch Control Design With Disturbance Rejection for the Controls Advanced Research Turbine
David Wenzhong Gao,
David Wenzhong Gao
Daniel Felix Ritchie School of
Engineering & Computer Science,
University of Denver,
Denver, CO 80208
Engineering & Computer Science,
University of Denver,
Denver, CO 80208
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Xiao Wang,
Xiao Wang
Daniel Felix Ritchie School of
Engineering & Computer Science,
University of Denver,
Denver, CO 80208;
Engineering & Computer Science,
University of Denver,
Denver, CO 80208;
College of Information Science and Engineering,
Northeastern University,
Shenyang 110819, China
e-mail: wangxiao.owl@gmail.com
Northeastern University,
Shenyang 110819, China
e-mail: wangxiao.owl@gmail.com
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Jianhui Wang,
Jianhui Wang
College of Information Science and Engineering,
Northeastern University,
Shenyang 110819, China
Northeastern University,
Shenyang 110819, China
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Tianqi Gao,
Tianqi Gao
Daniel Felix Ritchie School of
Engineering & Computer Science,
University of Denver,
Denver, CO 80208
Engineering & Computer Science,
University of Denver,
Denver, CO 80208
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Margareta Stefanovic,
Margareta Stefanovic
Daniel Felix Ritchie School of
Engineering & Computer Science,
University of Denver,
Denver, CO 80208
Engineering & Computer Science,
University of Denver,
Denver, CO 80208
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Xiangjun Li
Xiangjun Li
State Key Laboratory of Control and
Operation of Renewable Energy
and Storage Systems,
China Electric Power Research Institute,
Beijing 100085, China
Operation of Renewable Energy
and Storage Systems,
China Electric Power Research Institute,
Beijing 100085, China
Search for other works by this author on:
David Wenzhong Gao
Daniel Felix Ritchie School of
Engineering & Computer Science,
University of Denver,
Denver, CO 80208
Engineering & Computer Science,
University of Denver,
Denver, CO 80208
Xiao Wang
Daniel Felix Ritchie School of
Engineering & Computer Science,
University of Denver,
Denver, CO 80208;
Engineering & Computer Science,
University of Denver,
Denver, CO 80208;
College of Information Science and Engineering,
Northeastern University,
Shenyang 110819, China
e-mail: wangxiao.owl@gmail.com
Northeastern University,
Shenyang 110819, China
e-mail: wangxiao.owl@gmail.com
Jianhui Wang
College of Information Science and Engineering,
Northeastern University,
Shenyang 110819, China
Northeastern University,
Shenyang 110819, China
Tianqi Gao
Daniel Felix Ritchie School of
Engineering & Computer Science,
University of Denver,
Denver, CO 80208
Engineering & Computer Science,
University of Denver,
Denver, CO 80208
Margareta Stefanovic
Daniel Felix Ritchie School of
Engineering & Computer Science,
University of Denver,
Denver, CO 80208
Engineering & Computer Science,
University of Denver,
Denver, CO 80208
Xiangjun Li
State Key Laboratory of Control and
Operation of Renewable Energy
and Storage Systems,
China Electric Power Research Institute,
Beijing 100085, China
Operation of Renewable Energy
and Storage Systems,
China Electric Power Research Institute,
Beijing 100085, China
Contributed by the Solar Energy Division of ASME for publication in the JOURNAL OF SOLAR ENERGY ENGINEERING: INCLUDING WIND ENERGY AND BUILDING ENERGY CONSERVATION. Manuscript received December 23, 2017; final manuscript received July 25, 2018; published online August 31, 2018. Assoc. Editor: Yves Gagnon.
J. Sol. Energy Eng. Feb 2019, 141(1): 011005 (10 pages)
Published Online: August 31, 2018
Article history
Received:
December 23, 2017
Revised:
July 25, 2018
Citation
Wenzhong Gao, D., Wang, X., Wang, J., Gao, T., Stefanovic, M., and Li, X. (August 31, 2018). "Optimal Pitch Control Design With Disturbance Rejection for the Controls Advanced Research Turbine." ASME. J. Sol. Energy Eng. February 2019; 141(1): 011005. https://doi.org/10.1115/1.4041097
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