IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i20p5296-d426604.html
   My bibliography  Save this article

Adaptive Takagi–Sugeno Fuzzy Model Predictive Control for Permanent Magnet Synchronous Generator-Based Hydrokinetic Turbine Systems

Author

Listed:
  • Yu-Chen Lin

    (Department of Automatic Control Engineering, Feng Chia University, Taichung 40724, Taiwan)

  • Valentina Emilia Balas

    (Automatics and Applied Software Department, Aurel Vlaicu University of Arad, 310130 Arad, Romania)

  • Ji-Fan Yang

    (Department of Automatic Control Engineering, Feng Chia University, Taichung 40724, Taiwan)

  • Yu-Heng Chang

    (Department of Automatic Control Engineering, Feng Chia University, Taichung 40724, Taiwan)

Abstract

This paper presents a sensorless model predictive torque control strategy based on an adaptive Takagi–Sugeno (T–S) fuzzy model for the design of a six–phase permanent magnet synchronous generator (PMSG)–based hydrokinetic turbine systems (PMSG-HTs), which not only provides clean electric energy and stable energy-conversion efficiency, but also improves the reliability and robustness of the electricity supply. An adaptive T–S fuzzy model is first formed to characterize the nonlinear system of the PMSG before a model predictive torque controller based on the T–S fuzzy model for the PMSG system is employed to indirectly control the stator current and the stator flux magnitude, which improves the performance in terms of anti–disturbance, and achieves maximum hydropower tracking. Finally, we consider two types of tidal current, namely the mixed semidiurnal tidal current and the northwest European shelf tidal current. The simulation results demonstrate that the proposed control strategy can significantly improve the voltage–support capacity, while ensuring the stable operation of the PMSG in hydrokinetic turbine systems, especially under uneven tidal current speed conditions.

Suggested Citation

  • Yu-Chen Lin & Valentina Emilia Balas & Ji-Fan Yang & Yu-Heng Chang, 2020. "Adaptive Takagi–Sugeno Fuzzy Model Predictive Control for Permanent Magnet Synchronous Generator-Based Hydrokinetic Turbine Systems," Energies, MDPI, vol. 13(20), pages 1-18, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:20:p:5296-:d:426604
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/20/5296/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/20/5296/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yun-Su Kim & Il-Yop Chung & Seung-Il Moon, 2015. "Tuning of the PI Controller Parameters of a PMSG Wind Turbine to Improve Control Performance under Various Wind Speeds," Energies, MDPI, vol. 8(2), pages 1-20, February.
    2. Faruk Guner & Hilmi Zenk, 2020. "Experimental, Numerical and Application Analysis of Hydrokinetic Turbine Performance with Fixed Rotating Blades," Energies, MDPI, vol. 13(3), pages 1-15, February.
    3. Ahmed Nasr & Chunyang Gu & Serhiy Bozhko & Chris Gerada, 2020. "Performance Enhancement of Direct Torque-Controlled Permanent Magnet Synchronous Motor with a Flexible Switching Table," Energies, MDPI, vol. 13(8), pages 1-15, April.
    4. Robins, Peter E. & Neill, Simon P. & Lewis, Matt J. & Ward, Sophie L., 2015. "Characterising the spatial and temporal variability of the tidal-stream energy resource over the northwest European shelf seas," Applied Energy, Elsevier, vol. 147(C), pages 510-522.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Thiébaut, Maxime & Sentchev, Alexei, 2017. "Asymmetry of tidal currents off the W.Brittany coast and assessment of tidal energy resource around the Ushant Island," Renewable Energy, Elsevier, vol. 105(C), pages 735-747.
    2. Lewis, Matt & McNaughton, James & Márquez-Dominguez, Concha & Todeschini, Grazia & Togneri, Michael & Masters, Ian & Allmark, Matthew & Stallard, Tim & Neill, Simon & Goward-Brown, Alice & Robins, Pet, 2019. "Power variability of tidal-stream energy and implications for electricity supply," Energy, Elsevier, vol. 183(C), pages 1061-1074.
    3. Tania García-Sánchez & Arbinda Kumar Mishra & Elías Hurtado-Pérez & Rubén Puché-Panadero & Ana Fernández-Guillamón, 2020. "A Controller for Optimum Electrical Power Extraction from a Small Grid-Interconnected Wind Turbine," Energies, MDPI, vol. 13(21), pages 1-16, November.
    4. Janusz Baran & Andrzej Jąderko, 2020. "An MPPT Control of a PMSG-Based WECS with Disturbance Compensation and Wind Speed Estimation," Energies, MDPI, vol. 13(23), pages 1-20, December.
    5. Vincenzo Iannino & Valentina Colla & Mario Innocenti & Annamaria Signorini, 2017. "Design of a H ∞ Robust Controller with μ -Analysis for Steam Turbine Power Generation Applications," Energies, MDPI, vol. 10(7), pages 1-31, July.
    6. Shoudao Huang & Yang Zhang & Zhikang Shuai, 2016. "Capacitor Voltage Ripple Suppression for Z-Source Wind Energy Conversion System," Energies, MDPI, vol. 9(1), pages 1-15, January.
    7. Barbarelli, S. & Florio, G. & Amelio, M. & Scornaienchi, N.M., 2018. "Preliminary performance assessment of a novel on-shore system recovering energy from tidal currents," Applied Energy, Elsevier, vol. 224(C), pages 717-730.
    8. Artal, Osvaldo & Pizarro, Oscar & Sepúlveda, Héctor H., 2019. "The impact of spring-neap tidal-stream cycles in tidal energy assessments in the Chilean Inland Sea," Renewable Energy, Elsevier, vol. 139(C), pages 496-506.
    9. Lewis, M.J. & Angeloudis, A. & Robins, P.E. & Evans, P.S. & Neill, S.P., 2017. "Influence of storm surge on tidal range energy," Energy, Elsevier, vol. 122(C), pages 25-36.
    10. Gao, Richie & Gao, Zhiwei, 2016. "Pitch control for wind turbine systems using optimization, estimation and compensation," Renewable Energy, Elsevier, vol. 91(C), pages 501-515.
    11. Guillou, Nicolas & Thiébot, Jérôme, 2016. "The impact of seabed rock roughness on tidal stream power extraction," Energy, Elsevier, vol. 112(C), pages 762-773.
    12. Neill, Simon P. & Hashemi, M. Reza & Lewis, Matt J., 2016. "Tidal energy leasing and tidal phasing," Renewable Energy, Elsevier, vol. 85(C), pages 580-587.
    13. Ridgill, Michael & Neill, Simon P. & Lewis, Matt J. & Robins, Peter E. & Patil, Sopan D., 2021. "Global riverine theoretical hydrokinetic resource assessment," Renewable Energy, Elsevier, vol. 174(C), pages 654-665.
    14. Evans, P. & Mason-Jones, A. & Wilson, C. & Wooldridge, C. & O'Doherty, T. & O'Doherty, D., 2015. "Constraints on extractable power from energetic tidal straits," Renewable Energy, Elsevier, vol. 81(C), pages 707-722.
    15. Burić, Melita & Grgurić, Sanja & Mikulčić, Hrvoje & Wang, Xuebin, 2021. "A numerical investigation of tidal current energy resource potential in a sea strait," Energy, Elsevier, vol. 234(C).
    16. Nicolas Guillou & Georges Chapalain, 2017. "Tidal Turbines’ Layout in a Stream with Asymmetry and Misalignment," Energies, MDPI, vol. 10(11), pages 1-14, November.
    17. O’Hara Murray, Rory & Gallego, Alejandro, 2017. "A modelling study of the tidal stream resource of the Pentland Firth, Scotland," Renewable Energy, Elsevier, vol. 102(PB), pages 326-340.
    18. Mithran Daniel Solomon & Wolfram Heineken & Marcel Scheffler & Torsten Birth, 2023. "Energy Conveyor Belt—A Detailed Analysis of a New Type of Hydrokinetic Device," Energies, MDPI, vol. 16(5), pages 1-17, February.
    19. Neill, Simon P. & Angeloudis, Athanasios & Robins, Peter E. & Walkington, Ian & Ward, Sophie L. & Masters, Ian & Lewis, Matt J. & Piano, Marco & Avdis, Alexandros & Piggott, Matthew D. & Aggidis, Geor, 2018. "Tidal range energy resource and optimization – Past perspectives and future challenges," Renewable Energy, Elsevier, vol. 127(C), pages 763-778.
    20. Zehao Lyu & Xiang Wu & Jie Gao & Guojun Tan, 2021. "An Improved Finite-Control-Set Model Predictive Current Control for IPMSM under Model Parameter Mismatches," Energies, MDPI, vol. 14(19), pages 1-13, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:20:p:5296-:d:426604. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.