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Wind and Wave Disturbances Compensation to Floating Offshore Wind Turbine Using Improved Individual Pitch Control Based on Fuzzy Control Strategy

Author

Listed:
  • Feng Yang
  • Qing-wang Song
  • Lei Wang
  • Shan Zuo
  • Sheng-shan Li

Abstract

Due to the rich and high quality of offshore wind resources, floating offshore wind turbine (FOWT) arouses the attentions of many researchers. But on a floating platform, the wave and wind induced loads can significantly affect power regulation and vibration of the structure. Therefore, reducing these loads becomes a challenging part of the design of the floating system. To better alleviate these fatigue loads, a control system making compensations to these disturbances is proposed. In this paper an individual pitch control (IPC) system integrated with disturbance accommodating control (DAC) and model prediction control (MPC) through fuzzy control is developed to alleviate the fatigue loads. DAC is mainly used to mitigate the effects of wind disturbance and MPC counteracts the effects of wave on the structure. The new individual pitch controller is tested on the NREL offshore 5 MW wind turbine mounted on a barge with a spread‐mooring system, running in FAST, operating above‐rated condition. Compared to the original baseline collective pitch control (CPC) (Jonkman et al., 2007), the IPC system shows a better performance in reducing fatigue loads and is robust to complex wind and wave disturbances as well.

Suggested Citation

  • Feng Yang & Qing-wang Song & Lei Wang & Shan Zuo & Sheng-shan Li, 2014. "Wind and Wave Disturbances Compensation to Floating Offshore Wind Turbine Using Improved Individual Pitch Control Based on Fuzzy Control Strategy," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
    • Handle: RePEc:wly:jnlaaa:v:2014:y:2014:i:1:n:968384
    DOI: 10.1155/2014/968384
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    References listed on IDEAS

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    1. Lei Wang & Shan Zuo & Y. D. Song & Zheng Zhou, 2014. "Variable Torque Control of Offshore Wind Turbine on Spar Floating Platform Using Advanced RBF Neural Network," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
    2. Lei Wang & Shan Zuo & Y. D. Song & Zheng Zhou, 2014. "Variable Torque Control of Offshore Wind Turbine on Spar Floating Platform Using Advanced RBF Neural Network," Abstract and Applied Analysis, Hindawi, vol. 2014, pages 1-7, March.
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