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Model-Free Adaptive Fault-Tolerant Control for Offshore Wind Turbines

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Intelligent Computing (SAI 2024)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 1019))

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Abstract

Floating offshore wind turbines have increased in popularity owing to their adaptability for deep water applications and high power generation efficiency. The control of floating offshore wind turbines, on the other hand, is very complex. The main challenges are the difficulty in precisely modeling floating offshore wind turbines and the higher failure rate of components. As a consequence, this study proposes a model-free adaptive fault-tolerant control system for blade root moment sensor failures. A model-free adaptive control approach is used to construct an individual pitch controller and a fault compensation to avoid mathematical modeling of floating offshore wind turbines. The proposed fault-tolerant control technique removes the need for fault detection and isolation by converting the fault dynamic compensation process into a real-time control issue for nonlinear systems. The fatigue, aerodynamics, structures, and turbulence code simulates and tests the proposed control strategy, and the results show that the proposed strategy can not only keep the wheel bearing load balanced, but also reduce the movement of the floating platform and significantly reduce the bearing load of the floating offshore wind turbines. Furthermore, the output power is closer to the rated power, proving the strategy’s high fault tolerance in the face of repeated blade root moment sensor faults.

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References

  1. Bachynski, E.E., Etemaddar, M., Kvittem, M.I., Luan, C., Moan, T.: Dynamic analysis of floating wind turbines during pitch actuator fault, grid loss, and shutdown. Energy Procedia 35, 210–222 (2013). DeepWind’2013 - Selected papers from 10th Deep Sea Offshore Wind R &D Conference, Trondheim, Norway, 24 - 25 January 2013

    Google Scholar 

  2. Badihi, H., Zhang, Y., Pillay, P., Rakheja, S.: Fault-tolerant individual pitch control for load mitigation in wind turbines with actuator faults. IEEE Trans. Industr. Electron. 68(1), 532–543 (2021)

    Article  Google Scholar 

  3. Campanile, A., Piscopo, V., Scamardella, A.: Mooring design and selection for floating offshore wind turbines on intermediate and deep water depths. Ocean Eng. 148, 349–360 (2018)

    Article  Google Scholar 

  4. Chaaban, R., Fritzen, C.-P.: Reducing blade fatigue and damping platform motions of floating wind turbines using model predictive control. In: Proceedings of the 9th International Conference on Structural Dynamics - EURODYN, pp. 3581–3588 (June 2014)

    Google Scholar 

  5. Cho, S., Gao, Z., Moan, T.: Model-based fault detection, fault isolation and fault-tolerant control of a blade pitch system in floating wind turbines. Renewable Energy 120, 306–321 (2018)

    Article  Google Scholar 

  6. Chodnekar, Y.P., Mandal, S.: Hydrodynamic analysis of floating offshore wind turbine. Procedia Engineering, 116, 4–11 (2015). 8th International Conference on Asian and Pacific Coasts (APAC 2015)

    Google Scholar 

  7. Coulling, A.J., Goupee, A.J., Robertson, A.N., Jonkman, J.M., Dagher, H.J.: Validation of a fast semi-submersible floating wind turbine numerical model with DeepCwind test data. J. Renewable Sustain. Energy 5(2), 1–29 (2013)

    Article  Google Scholar 

  8. Fekih, A., Habibi, H., Simani, S.: Fault diagnosis and fault tolerant control of wind turbines: an overview. Energies 15(19), 7186–7206 (2022). ISSN: 1996–1073. https://doi.org/10.3390/en15197186

  9. Gutierrez, S.V., Zhang, C., de Leon-Morales, J., Plestan, F.: A simplified version of adaptive super twisting-application to the control of floating wind turbine. Control. Eng. Pract. 125, 105208 (2022)

    Article  Google Scholar 

  10. He, W., Xiang, W., He, X., Li, G.: Boundary vibration control of a floating wind turbine system with mooring lines. Control. Eng. Pract. 101, 104423 (2020)

    Article  Google Scholar 

  11. Jain, T., Yame, J.: Health-aware fault-tolerant receding horizon control of wind turbines. Control. Eng. Pract. 95, 104236 (2020)

    Article  Google Scholar 

  12. Kamarzarrin, M., Refan, M.H., Amiri, P.: Open-circuit faults diagnosis and fault-tolerant control scheme based on sliding-mode observer for DFIG back-to-back converters: wind turbine applications. Control. Eng. Pract. 126, 105235 (2022)

    Article  Google Scholar 

  13. Lan, J., Patton, R.J., Zhu, X.: Fault–tolerant wind turbine pitch control using adaptive sliding mode estimation. Renewable Energy 116(Part B), 219–231 (2018). https://doi.org/10.1016/j.renene.2016.12.005

  14. Li, H., Soares, C.G.: Assessment of failure rates and reliability of floating offshore wind turbines. Reliability Eng. Syst. Saf. 228, 108777 (2022)

    Article  Google Scholar 

  15. Li, J., Wang, S.: Dual multivariable model-free adaptive individual pitch control for load reduction in wind turbines with actuator faults. Renewable Energy 174, 293–304 (2021)

    Article  Google Scholar 

  16. Lio, W.H., Jones, B.L., Lu, Q., Rossiter, J.A.: Fundamental performance similarities between individual pitch control strategies for wind turbines. Int. J. Control 90(1), 37–52 (2015). https://doi.org/10.1080/00207179.2015.1078912

    Article  MathSciNet  Google Scholar 

  17. Liu, Y., Wu, P., Ferrari, R.M., van Wingerden, J.W.: Fast adaptive fault accommodation in floating offshore wind turbines via model-based fault diagnosis and subspace predictive repetitive control. IFAC-PapersOnLine 53(2), 12650–12655 (2020). 21st IFAC World Congress

    Google Scholar 

  18. Namik, H., Stol, K.: Individual blade pitch control of floating offshore wind turbines. Wind Energy 13(1), 74–85 (2010). https://doi.org/10.1002/we.332

    Article  Google Scholar 

  19. Namik, H., Stol, K., Jonkman, J.: State-Space Control of Tower Motion for Deepwater Floating Offshore Wind Turbines, chap. 6, pp. 1–18 (2015)

    Google Scholar 

  20. Odgaard, P.F., Stoustrup, J., Kinnaert, M.: Fault–tolerant control of wind turbines: a benchmark model. IEEE Trans. Control Syst. Technol. 21(4), 1168–1182 (2013). ISSN: 1063–6536. https://doi.org/10.1109/TCST.2013.2259235

  21. Plumley, C., Leithead, W., Jamieson, P., Bossanyi, E., Graham, M.: Comparison of individual pitch and smart rotor control strategies for load reduction. In: Journal of Physics: Conference Series, vol. 524, pp. 012054 (2014). https://doi.org/10.1088/1742-6596/524/1/012054

  22. Pöschke, F., Petrović, V., Berger, F., Neuhaus, L., Hölling, M., Kühn, M., Schulte, H.: Model-based wind turbine control design with power tracking capability: a wind-tunnel validation. Control. Eng. Pract. 120, 105014 (2022)

    Article  Google Scholar 

  23. Qiao, W., Dingguo, L.: A survey on wind turbine condition monitoring and fault diagnosis-part I: components and subsystems. IEEE Trans. Industr. Electron. 62(10), 6536–6545 (2015)

    Article  Google Scholar 

  24. Sarkar, S., Chen, L., Fitzgerald, B., Basu, B.: Multi-resolution wavelet pitch controller for spar-type floating offshore wind turbines including wave-current interactions. J. Sound Vib. 470, 115170 (2020)

    Article  Google Scholar 

  25. Shi, F., Patton, R.J.: An active fault tolerant control approach to an offshore wind turbine model. Renewable Energy 75(1), 788–798 (2015). https://doi.org/10.1016/j.renene.2014.10.061

    Article  Google Scholar 

  26. Simani, S.: Data–Driven design of a PI fuzzy controller for a wind turbine simulated model. In: Vilanova, R., Visioli, A. (eds.) Proceedings of the IFAC Conference on Advances in PID Control – PID 2012, vol. 2, pp. 667–672, University of Brescia, Brescia, Italy, 28–30 March 2012. DII, Faculty of Engineering, University of Brescia, Italy, IFAC. Invited paper. ISBN: 978-3-902823-18-2. https://doi.org/10.3182/20120328-3-IT-3014.00113

  27. Simani, S., Farsoni, S.: Fault diagnosis and sustainable control of wind turbines: robust data–driven and model–based strategies. In: Mechanical Engineering. Butterworth–Heinemann – Elsevier, Oxford (UK), 1st edn. (2018). ISBN: 9780128129845

    Google Scholar 

  28. Stotsky, A.: Blade root moment sensor failure detection based on multibeam lidar for fault-tolerant individual pitch control of wind turbines. Energy Sci. Eng. 2(3), 107–115 (2014)

    Article  Google Scholar 

  29. Sun, X., Xiong, Y., Yao, M., Jiangling, W.: High fault-tolerance evaluation on position signal for switched reluctance motor drives. IEEE Trans. Energy Convers. 37(3), 1844–1853 (2022)

    Google Scholar 

  30. Thomsen, S.C., Niemann, H., Poulsen, N.K.: Individual pitch control of wind turbines using local inflow measurements. In: Proceedings of the 17th IFAC World Congress – the International Federation of Automatic Control, pp. 5587–5592, Seoul, South Korea, July 2008. IFAC

    Google Scholar 

  31. Tran, T.-T., Kim, D.-H.: The platform pitching motion of floating offshore wind turbine: a preliminary unsteady aerodynamic analysis. J. Wind Eng. Ind. Aerodyn. 142, 65–81 (2015)

    Article  Google Scholar 

  32. Wang, H., Hou, Z., Jin, S.: Model-free adaptive fault-tolerant control for multiple point-mass subway trains with speed and traction/braking force constraints. IFAC-PapersOnLine 53(2), 3916–3921 (2020). 21st IFAC World Congress

    Google Scholar 

  33. Yang, F., Song, Q., Wang, L., Zuo, S., Li, S.: Wind and wave disturbances compensation to floating offshore wind turbine using improved individual pitch control based on fuzzy control strategy. Abstr. Appl. Anal. 1–10(03), 2014 (2014)

    Google Scholar 

  34. Zhang, C., Plestan, F.: Individual/collective blade pitch control of floating wind turbine based on adaptive second order sliding mode. Ocean Eng. 228, 108897 (2021)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Engineering, University of Ferrara, Ferrara, Italy

    Silvio Simani

  2. Shibaura Institute of Technology, Toyosu Campus, Koto City, Tokyo, 135-8548, Japan

    Yat Ping Lam

Authors
  1. Yat Ping Lam
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  2. Silvio Simani
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Corresponding author

Correspondence to Silvio Simani .

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Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

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Lam, Y.P., Simani, S. (2024). Model-Free Adaptive Fault-Tolerant Control for Offshore Wind Turbines. In: Arai, K. (eds) Intelligent Computing. SAI 2024. Lecture Notes in Networks and Systems, vol 1019. Springer, Cham. https://doi.org/10.1007/978-3-031-62273-1_1

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