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Fault tolerant control of wind turbines with an adaptive output feedback sliding mode controller

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  • Azizi, Askar
  • Nourisola, Hamid
  • Shoja-Majidabad, Sajjad

Abstract

Wind turbines are developed to generate electrical energy with more efficiency and reliability. Modern fault detection, diagnosis, and accommodation structures are crucial to realize required level of reliability and efficiency for wind turbines. In this paper, a novel active fault tolerant controller is addressed to control rotor speed and power of a wind turbine in the presence of actuator faults and uncertainties. The proposed controller is a sliding mode controller with an integral surface and an adaptive gain which is known as adaptive output feedback sliding mode controller. An output feedback and a full-order compensator are utilized to shape the integral sliding surface and control law. The full-order compensator is proposed for fault and disturbance attenuation. The control law parameters adjustment and closed-loop system stability are satisfied using linear matrix inequality technique and Lyapunov stability theorem, respectively. Efficiency of the suggested controller is tested on a 5-MW wind turbine benchmark model in an extreme wind speed profile. In this regard, performance of the proposed strategy is compared with proportional-integral-derivative and disturbance accommodation control techniques. Simulation results show desirable performance and robustness behaviour for the adaptive output feedback integral sliding mode controller under the healthy and faulty actuator.

Suggested Citation

  • Azizi, Askar & Nourisola, Hamid & Shoja-Majidabad, Sajjad, 2019. "Fault tolerant control of wind turbines with an adaptive output feedback sliding mode controller," Renewable Energy, Elsevier, vol. 135(C), pages 55-65.
    • Handle: RePEc:eee:renene:v:135:y:2019:i:c:p:55-65
    DOI: 10.1016/j.renene.2018.11.106
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    1. Giannakis, Andreas & Karlis, Athanasios & Karnavas, Yannis L., 2018. "A combined control strategy of a DFIG based on a sensorless power control through modified phase-locked loop and fuzzy logic controllers," Renewable Energy, Elsevier, vol. 121(C), pages 489-501.
    2. Chen, Z.J. & Stol, K.A. & Mace, B.R., 2017. "Wind turbine blade optimisation with individual pitch and trailing edge flap control," Renewable Energy, Elsevier, vol. 103(C), pages 750-765.
    3. Shi, Fengming & Patton, Ron, 2015. "An active fault tolerant control approach to an offshore wind turbine model," Renewable Energy, Elsevier, vol. 75(C), pages 788-798.
    4. Lasheen, Ahmed & Elshafei, Abdel Latif, 2016. "Wind-turbine collective-pitch control via a fuzzy predictive algorithm," Renewable Energy, Elsevier, vol. 87(P1), pages 298-306.
    5. Foley, A.M. & Ó Gallachóir, B.P. & McKeogh, E.J. & Milborrow, D. & Leahy, P.G., 2013. "Addressing the technical and market challenges to high wind power integration in Ireland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 692-703.
    6. Khalid, M. & Savkin, A.V., 2010. "A model predictive control approach to the problem of wind power smoothing with controlled battery storage," Renewable Energy, Elsevier, vol. 35(7), pages 1520-1526.
    7. Yuan, Yuan & Tang, J., 2017. "Adaptive pitch control of wind turbine for load mitigation under structural uncertainties," Renewable Energy, Elsevier, vol. 105(C), pages 483-494.
    8. Jain, Achin & Schildbach, Georg & Fagiano, Lorenzo & Morari, Manfred, 2015. "On the design and tuning of linear model predictive control for wind turbines," Renewable Energy, Elsevier, vol. 80(C), pages 664-673.
    9. Cho, Seongpil & Gao, Zhen & Moan, Torgeir, 2018. "Model-based fault detection, fault isolation and fault-tolerant control of a blade pitch system in floating wind turbines," Renewable Energy, Elsevier, vol. 120(C), pages 306-321.
    10. Kamal, E. & Aitouche, A., 2013. "Robust fault tolerant control of DFIG wind energy systems with unknown inputs," Renewable Energy, Elsevier, vol. 56(C), pages 2-15.
    11. Oh, Ki-Yong & Park, Joon-Young & Lee, Jun-Shin & Lee, JaeKyung, 2015. "Implementation of a torque and a collective pitch controller in a wind turbine simulator to characterize the dynamics at three control regions," Renewable Energy, Elsevier, vol. 79(C), pages 150-160.
    12. Civelek, Zafer & Lüy, Murat & Çam, Ertuğrul & Mamur, Hayati, 2017. "A new fuzzy logic proportional controller approach applied to individual pitch angle for wind turbine load mitigation," Renewable Energy, Elsevier, vol. 111(C), pages 708-717.
    13. Naderi, Seyed Behzad & Negnevitsky, Michael & Jalilian, Amin & Hagh, Mehrdad Tarafdar, 2016. "Efficient fault ride-through scheme for three phase voltage source inverter-interfaced distributed generation using DC link adjustable resistive type fault current limiter," Renewable Energy, Elsevier, vol. 92(C), pages 484-498.
    14. Kyaw, Min Min & Ramachandaramurthy, V.K., 2011. "Fault ride through and voltage regulation for grid connected wind turbine," Renewable Energy, Elsevier, vol. 36(1), pages 206-215.
    15. Boukhezzar, B. & Lupu, L. & Siguerdidjane, H. & Hand, M., 2007. "Multivariable control strategy for variable speed, variable pitch wind turbines," Renewable Energy, Elsevier, vol. 32(8), pages 1273-1287.
    16. Chowdhury, M.A. & Hosseinzadeh, N. & Shen, W.X., 2012. "Smoothing wind power fluctuations by fuzzy logic pitch angle controller," Renewable Energy, Elsevier, vol. 38(1), pages 224-233.
    17. Farahani, E.M. & Hosseinzadeh, N. & Ektesabi, M., 2012. "Comparison of fault-ride-through capability of dual and single-rotor wind turbines," Renewable Energy, Elsevier, vol. 48(C), pages 473-481.
    18. Saad, Naggar H. & Sattar, Ahmed A. & Mansour, Abd El-Aziz M., 2015. "Low voltage ride through of doubly-fed induction generator connected to the grid using sliding mode control strategy," Renewable Energy, Elsevier, vol. 80(C), pages 583-594.
    19. 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.
    20. Xu, Guoyi & Liu, Fanglei & Hu, Jiaxin & Bi, Tianshu, 2018. "Coordination of wind turbines and synchronous generators for system frequency control," Renewable Energy, Elsevier, vol. 129(PA), pages 225-236.
    21. Hafiz, Faizal & Abdennour, Adel, 2015. "Optimal use of kinetic energy for the inertial support from variable speed wind turbines," Renewable Energy, Elsevier, vol. 80(C), pages 629-643.
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    5. Mazare, Mahmood & Taghizadeh, Mostafa & Ghaf-Ghanbari, Pegah, 2021. "Fault tolerant control of wind turbines with simultaneous actuator and sensor faults using adaptive time delay control," Renewable Energy, Elsevier, vol. 174(C), pages 86-101.
    6. Afef Fekih & Saleh Mobayen & Chih-Chiang Chen, 2021. "Adaptive Robust Fault-Tolerant Control Design for Wind Turbines Subject to Pitch Actuator Faults," Energies, MDPI, vol. 14(6), pages 1-13, March.
    7. Yashar Mousavi & Geraint Bevan & Ibrahim Beklan Küçükdemiral & Afef Fekih, 2021. "Maximum Power Extraction from Wind Turbines Using a Fault-Tolerant Fractional-Order Nonsingular Terminal Sliding Mode Controller," Energies, MDPI, vol. 14(18), pages 1-16, September.
    8. Mousavi, Yashar & Bevan, Geraint & Kucukdemiral, Ibrahim Beklan & Fekih, Afef, 2022. "Sliding mode control of wind energy conversion systems: Trends and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    9. Afef Fekih & Hamed Habibi & Silvio Simani, 2022. "Fault Diagnosis and Fault Tolerant Control of Wind Turbines: An Overview," Energies, MDPI, vol. 15(19), pages 1-21, September.
    10. Mazare, Mahmood & Taghizadeh, Mostafa, 2022. "Uncertainty estimator-based dual layer adaptive fault-tolerant control for wind turbines," Renewable Energy, Elsevier, vol. 188(C), pages 545-560.

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