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Output Control of Three-Axis PMSG Wind Turbine Considering Torsional Vibration Using H Infinity Control

Author

Listed:
  • Kosuke Takahashi

    (Graduate School of Science and Engineering, University of the Ryukyus, Okinawa 903-0213, Japan)

  • Nyam Jargalsaikhan

    (Power Engineering School, Mongolian University of Science and Technology, Ulaanbaatar 14191, Mongolia)

  • Shriram Rangarajan

    (Department of Electrical and Computer Engineering, Clemson University, Clemson, SC 29634, USA)

  • Ashraf Mohamed Hemeida

    (Faculty of Energy Engineering, Aswan University, Aswan 81528, Egypt)

  • Hiroshi Takahashi

    (Fuji Elctric Co., Ltd., Tokyo 141-0032, Japan)

  • Tomonobu Senjyu

    (Faculty of Engineering, University of the Ryukyus, Okinawa 903-0213, Japan)

Abstract

Due to changes in wind, the torque obtained from the wind turbine always fluctuates. Here, the wind turbine and the rotor of the generator are connected by a shaft that is one elastic body, and each rotating body has different inertia. The difference in inertia between the wind turbine and the generator causes a torsion between the wind generator and the generator; metal fatigue and torsion can damage the shaft. Therefore, it is necessary to consider the axial torsional vibration suppression of a geared wind power generator using a permanent magnet synchronous generator (PMSG). In addition, errors in axis system parameters occur due to long-term operation of the generator, and it is important to estimate for accurate control. In this paper, we propose torque estimation using H ∞ observer and axial torsional vibration suppression control in a three inertia system. The H ∞ controller is introduced into the armature current control system (q-axis current control system) of the wind power generator. Even if parameter errors and high-frequency disturbances are included, the shaft torsional torque is estimated by the H ∞ observer that can perform robust estimation. Moreover, by eliminating the resonance point of the shaft system, vibration suppression of the shaft torsional torque is achieved. The results by the proposed method can suppress axial torsional vibration and show the effect better than the results using Proportional-Integral (PI) control.

Suggested Citation

  • Kosuke Takahashi & Nyam Jargalsaikhan & Shriram Rangarajan & Ashraf Mohamed Hemeida & Hiroshi Takahashi & Tomonobu Senjyu, 2020. "Output Control of Three-Axis PMSG Wind Turbine Considering Torsional Vibration Using H Infinity Control," Energies, MDPI, vol. 13(13), pages 1-13, July.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:13:p:3474-:d:380611
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    References listed on IDEAS

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    1. Abdul Motin Howlader & Naomitsu Urasaki & Atsushi Yona & Tomonobu Senjyu & Ahmed Yousuf Saber, 2013. "Design and Implement a Digital H∞ Robust Controller for a MW-Class PMSG-Based Grid-Interactive Wind Energy Conversion System," Energies, MDPI, vol. 6(4), pages 1-26, April.
    2. Mseddi, Amina & Le Ballois, Sandrine & Aloui, Helmi & Vido, Lionel, 2019. "Robust control of a wind conversion system based on a hybrid excitation synchronous generator: A comparison between H∞ and CRONE controllers," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 158(C), pages 453-476.
    3. Omine, Eitaro & Goya, Tomonori & Akie, Uehara & Senjyu, Tomonobu & Yona, Atsushi & Urasaki, Naomitsu & Funabashi, Toshihisa, 2010. "Torsional torque suppression of decentralized generators using H∞ observer," Renewable Energy, Elsevier, vol. 35(9), pages 1908-1913.
    4. Li, H. & Zhao, B. & Yang, C. & Chen, H.W. & Chen, Z., 2011. "Analysis and estimation of transient stability for a grid-connected wind turbine with induction generator," Renewable Energy, Elsevier, vol. 36(5), pages 1469-1476.
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    Cited by:

    1. Juan Zhai & Shengquan Li & Zhuang Xu & Luyao Zhang & Juan Li, 2022. "Reduced-Order Extended State Observer-Based Sliding Mode Control for All-Clamped Plate Using an Inertial Actuator," Energies, MDPI, vol. 15(5), pages 1-12, February.
    2. Mojtaba Nasiri & Saleh Mobayen & Behdad Faridpak & Afef Fekih & Arthur Chang, 2020. "Small-Signal Modeling of PMSG-Based Wind Turbine for Low Voltage Ride-Through and Artificial Intelligent Studies," Energies, MDPI, vol. 13(24), pages 1-18, December.
    3. Shaoping Wang & Jun Zhou & Zhaoxia Duan, 2023. "Finite Frequency H ∞ Control for Doubly Fed Induction Generators with Input Delay and Gain Disturbance," Sustainability, MDPI, vol. 15(5), pages 1-19, March.
    4. Jargalsaikhan, Nyam & Ueda, Soichiro & Masahiro, Furukakoi & Matayoshi, Hidehito & Mikhaylov, Alexey & Byambaa, Sergelen & Senjyu, Tomonobu, 2024. "Exploring influence of air density deviation on power production of wind energy conversion system: Study on correction method," Renewable Energy, Elsevier, vol. 220(C).

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