Fuzzy Logic Active Yaw Control of a Low-Power Wind Generator
Keywords:Wind energy generation, Fuzzy control, Yaw control
Active yaw control systems are important for improving the efficiency of the wind generator by keeping a proper orientation of the turbine upon changing wind conditions. Moreover, they can be used for protecting the generator in the case of excessive wind speeds. However, the complex and nonlinear relationship between mechanical variables and the electrical power makes the controller design difficult using conventional techniques such as proportional-integral (PI) or proportional-integral-derivative (PID) controllers. In this paper we present the development of a fuzzy logic yaw control system for low-power wind generators, requiring only intuitive knowledge of the physical system and a set of logic rules established from the operator's experience. A 20 kW wind generator model including a permanent-magnet synchronous generator (PMSG) is implemented in order to assess the performance of the proposed yaw system in terms of the generated power. The parameters of the generator are selected according a commercial Ginlong GL-PMG-20K PMSG. Simulation results obtained in the MATLAB/Simulink environment considering different wind conditions show the effectiveness of the proposed method.
Global Wind Energy Council, “Global Wind Report 2019,” Brussels, Belgium, 2019. [Online]. Available: https://gwec.net/
W. Farag, M. El-Hosary, A. Kamel, and K. El-Metwally, “A Comparative Study and Analysis of Different Yaw Control Strategies for Large Wind Turbines,” in 2017 Intl Conf .on Adv. Control Circuits Syst. Syst. & 2017 Intl Conf. New Paradig. Electron. & Inf. Technol., Alexandria, Egypt,2017, pp. 132–139.
H. Shariatpanah, R. Fadaeinedjad, and M. Rashidinejad, “A New Model for PMSG-Based Wind Turbine with Yaw Control,” IEEE Trans. Energy Convers., vol. 28, no. 4, pp. 929–937, 2013.
N. C. Raikar and S. A. Kale, “Effect of Tail Shapes on Yawing Performance of Micro Wind Turbine,” International Journal of Energy and Power Engineering, vol. 4, pp. 38–42, 2015.
S. Theodoropoulos, D. Kandris, M. Samarakou, and G. Koulouras, “Fuzzy Regulator Design for Wind Turbine Yaw Control,” Sci. World J., 2014.
Z. Wu and H. Wang, “Research on Active Yaw Mechanism of Small Wind Turbines,” Energy Procedia, vol. 16, pp. 53–57, 2012. [Online]. Available: https://linkinghub.elsevier.com/retrieve/pii/S1876610212000203
N. Karakasis, A. Mesemanolis, T. Nalmpantis, and C. Mademlis, “Active yaw control in a horizontal axis wind system without requiring wind direction measurement,” IET Renew. Power Gener., vol. 10, no. 9, pp. 1441–1449, oct 2016. [Online]. Available: https://digitallibrary.theiet.org/content/journals/10.1049/iet-rpg.2016.0005
D. R. Song, Q. A. Li, Z. Cai, L. Li, J. Yang, M. Su, and Y. H. Joo, “Model Predictive Control Using Multi-Step Prediction Model for Electrical Yaw System of Horizontal-Axis Wind Turbines,” IEEE Trans. Sustain. Energy, vol. 10, no. 4, pp. 2084–2093, oct 2019. [Online]. Available: https://ieeexplore.ieee.org/document/8514048/
F.-Q. Chen and J.-M. Yang, “Fuzzy PID Controller Used in Yaw System of Wind Turbine,” 3rd Int. Conf. Power Electron. Syst. Appl., pp. 1–4, 2009.
F. Yang, T. Yang, and X. Yang, “Fuzzy PID Control and Simulation of Wind Power Generation Yaw,” Adv. Mater. Res., no. 953-954, pp. 353–356, 2014.
P. Haiguo and W. Zhixin, “Simulation research of fuzzy-PID synthesis yaw vector control system of wind turbine,” WSEAS Transactions on Systems and Control, vol. 2, no. 10, pp. 469–476, 2007. [Online]. Available: https://dl.acm.org/doi/10.5555/1486749.1486750
A. Torabi and E. Tarsaii, “Fuzzy Controller Used In Yaw System Of Wind Turbine Noisy,” J. Math. Comput. Sci., vol. 8, pp. 105–112, 2014.
K. C. Wu, R. K. Joseph, and N. K. Thupili, “Evaluation of Classical and Fuzzy Logic Controllers for Wind Turbine Yaw Control,” in First IEEE Reg. Conf. Aerosp. Control Syst. Westlake Village, United States: IEEE, 1993, pp. 254–258.
R. Bharani and K. C. Jayasankar, “Yaw Control of Wind Turbine Using Fuzzy Logic Controller,” in Power Electron. Renew. Energy Syst., Lecture Notes in Electrical Engineering, Ed., vol. 326. New Dehli, India: Springer, 2015, pp. 997–1006.
S. Simani and S. Farsoni, Fault Diagnosis and Sustainable Control of Wind Turbines: Robust Data-Driven and Model-Based Strategies, 1st ed. Cambridge (MA), United States: Butterworth-Heinemann, 2018.
H.-S. Choi, J.-G. Kim, J.-H. Cho, and Y.-S. Nam, “Active Yaw Control of MW Class Wind Turbine,” Int. Conf. Control. Autom. Syst., pp. 1075– 1078, 2010.
A. Stotsky and B. Egardt, “Model Based Control of Wind Turbines: Look-Ahead Approach,” in Proc. 7th IFAC Symp. Robust Control Des. Int. Fed. Autom. Contro, vol. 45, no. 13, Aalborg, Dinamarca, 2012, pp. 639–646.
F. E. V. Taveiros, L. S. Barros, and F. B. Costa, “Back-to-Back Converter State-Feedback Control of DFIG (Doubly-Fed Induction Generator) based Wind Turbines,” Energy, vol. 89, pp. 896–906, 2015.
S. De Zutter, J. D. M. De Kooning, A. E. Samani, J. Baetens, and L. Vandevelde, “Modeling of Active Yaw Systems for Small and Medium Wind Turbines,” in 52nd Int. Univ. Power Eng. Conf. (UPEC 2017), Heraklion, Greece, 2017, pp. 1–6.
F. Alarcon, I. Velasquez, R. Hunter, B. Pavez, and R. Moncada, “Hybrid PID-fuzzy pitch control for wind turbines,” in 2017 Chil. Conf. Electr. Electron. Eng. Inf. Commun. Technol. IEEE, oct 2017, pp. 1–6. [Online]. Available: http://ieeexplore.ieee.org/document/8229625/
F. Alarcon, I. Velasquez, R. Hunter, B. Pavez, and R. Moncada, “PID-Fuzzy control strategy for nonlinear systems applied to small wind turbines,” in 2018 13th IEEE Int. Conf. Ind Appl. IEEE, nov 2018, pp. 277–282. [Online]. Available: https://ieeexplore.ieee.org/document/8627276/
N. Orlando, M. Liserre, R. A. Mastromauro, and A. Dell’Aquila, “A Survey of Control Issues in PMSG-Based Small Wind-Turbine Systems,” IEEE Trans. Ind. Informatics, vol. 9, no. 3, pp. 1211–1221, 2013.
S. M. Dehghan, M. Mohamadian, and A. Y. Varjani, “A New VariableSpeed Wind Energy Conversion System Using Permanent-Magnet Synchronous Generator and Z-Source Inverter,” IEEE Transactions on Energy Conversion, vol. 24, no. 3, pp. 714–724, 2009.
C. Huang, F. Li, and Z. Jin, “Maximum Power Point Tracking Strategy for Large-Scale Wind Generation Systems Considering Wind Turbine Dynamics,” IEEE Trans. Ind. Electron., vol. 62, no. 4, pp. 2530–2539, 2015.
C. C. Lee, “Fuzzy Logic in Control Systems: Fuzzy Logic Controller—Part I,” IEEE Transactions on Systems, Man and Cybernetics, vol. 20, no. 2, pp. 404–418, 1990.
S. Prajapati and E. Fernandez, “Performance evaluation of membership function on fuzzy logic model for solar PV array,” in 2020 IEEE International Conference on Computing, Power and Communication Technologies, GUCON 2020. Institute of Electrical and Electronics Engineers Inc., oct 2020, pp. 609–613.
F. Matia, A. Jimenez, and G. Martinez, “Calibration of fuzzy control systems,” in IEEE International Conference on Fuzzy Systems, vol. 1. IEEE, 1994, pp. 7–12.
S. Stubkier, H. Pedersen, T. Andersen, and K. Markussen, “State of the Art-Hydraulic Yaw Systems for Wind Turbines,” in Twelfth Scandinavian International Conference on Fluid Power, 2011.
H. Ying, Basic Fuzzy Mathematics for Fuzzy Control and Modeling, 2000, pp. 1–14.