References
- Abo-Khalil, A. G., Lee, D. C., & Seok, J. K. (2004). Variable speed wind power generation system based on fuzzy logic control for maximum power output tracking. Proceedings of the 35th annual IEEE power electronics specialist conference, Aachen, Germany, Germany (Vol. 3, pp. 2039–2043).
- Aissou, R., Rekioua, T., & Rekioua, D. (2016). Robust nonlinear predictive control of permanent magnet synchronous generator turbine using dspace hardware. International Journal of Hydrogen Energy, 41(1), 21047–21056. doi: 10.1016/j.ijhydene.2016.06.109
- Bianchi, F., De-Battista, H., & Mantz, R. J. (2007). Wind turbine control system: Principles, modelling, and gain scheduling design. London, UK: Springer-Verlag.
- Bottasso, C., Pizzinelli, P., Riboldi, C., & Tasca, L. (2014). LiDAR-enabled model predictive control of wind turbines with real-time capabilities. Renewable Energy, 71, 442–452. doi: 10.1016/j.renene.2014.05.041
- Bououden, S., Chadli, M., Filali, S., & El Hajjaji, A. (2012). Fuzzy model based multivariable predictive control of a variable speed wind turbine: LMI approach. Renewable Energy, 37, 434–439. doi: 10.1016/j.renene.2011.06.025
- Galdi, V., Piccolo, A., & Siano, P. (2008). Designing an adaptive fuzzy controller for maximum wind energy extraction. IEEE Transactions on Energy Conversion, 23(2), 559–569. doi: 10.1109/TEC.2007.914164
- Gosk, A. (2011). Model predictive control of a wind turbine (Master's thesis). Technical University of Denmark.
- Henriksen, L., Hansen, M., & Poulsen, N. (2013). Wind turbine control with constraint handling. IET Control Theory and Applications, 6(11), 1722–1734. doi: 10.1049/iet-cta.2011.0488
- Hua, G., & Geng, Y. (2002). A novel control strategy of MPPT taking dynamics of the wind turbine into account. Proceedings of the 37th IEEE power electronics specialist conference, Jeju, South Korea (pp. 18–22).
- Hui, J., & Bakhshai, A. (2008). A new adaptive control algorithm for maximum power point tracking for wind energy conversion systems. Proceedings of the IEEE power electronics specialists conference, Rhodes, Greece (pp. 4003–4007).
- Jain, A., Schildbach, G., Fagiano, L., & Morari, M. (2015). On the design and tuning of linear model predictive control for wind turbines. Renewable Energy, 80, 664–673. doi: 10.1016/j.renene.2015.02.057
- Jonkman, J., Butterfield, S., Musial, W., & Scott, G. (2007). Definition of a 5-MW reference wind turbine for offshore development (pp. 1046–1055) (Technical Report TP-500-38060). Golden, CO: National Renewable Energy Laboratory.
- Kwon, J. M., Kim, J. H., Kwak, S. H., & Lee, H. H. (2008). Optimal power extraction algorithm for DTC in wind power generation systems. Proceedings of the IEEE International Conference on Sustainable Energy Technology, Singapore, Singapore (pp. 639–643).
- Lasheen, A., Saad, M. S., Emara, H. M., & Elshafei, A. L. (2017). Continuous-time tube-based explicit model predictive control for collective pitching of wind turbines. Energy, 118, 1222–1233. doi: 10.1016/j.energy.2016.11.002
- Li, Q., Zhang, W. J., & Chen, L. (2001). Design for control – a concurrent engineering approach for mechatronic systems design. IEEE/ASME Transactions on Mechatron, 6(2), 161–169. doi: 10.1109/3516.928731
- Mayne, D. Q. (2014). Model predictive control: Recent developments and future promise. Automatica, 50, 2967–2986. doi: 10.1016/j.automatica.2014.10.128
- Molina, M. G., & Mercado, P. E. (2008). A new control strategy of variable speed wind turbine generator for three-phase grid-connected applications. Proceedings of the IEEE/PES transmission and distribution conference and exposition: Latin America, Bogota, Colombia (pp. 1–8).
- Moradi, H., & Vossoughi, G. (2015). Robust control of the variable speed wind turbines in the presence of uncertainties: A comparison between h-infinity and PID controllers. Energy, 90(Part 2), 1508–1521. doi: 10.1016/j.energy.2015.06.100
- Patsios, C., Chaniotis, A., & Kladas, A. (2008). A hybrid maximum power point tracking system for grid-connected variable speed wind-generators. Proceedings of the IEEE power electronics specialists conference, Rhodes, Greece (pp. 1749–1754).
- Raju, A., Fernandes, B., & Chatterjee, K. (2004). A UPF power conditioner with maximum power point tracker for grid connected variable speed wind energy conversion system. Proceedings of the 1st international conference on power electronics systems and applications, Hong Kong, China, China (pp. 107–112).
- Shao, C., Chen, X., & Liang, Z. (2006). Application research of maximum wind-energy tracing controller based adaptive control strategy in WECS. Proceedings of the international power electronics and motion control conference, Shanghai, China (pp. 1–6).
- Soliman, M., Malik, O. P., & Westwick, D. T. (2011). Multiple model predictive control for wind turbines with doubly fed induction generators. IEEE Transactions on Sustainable Energy, 2(3), 215–225. doi: 10.1109/TSTE.2011.2153217
- Thongam, J. S., Bouchard, P., Ezzaidi, H., & Ouhrouche, M. (2009). ANN-based maximum power point tracking control of variable speed wind energy conversion systems. Proceedings of the 18th IEEE international conference on control applications, St. Petersburg, Russia (pp. 1667–1671).
- Tummala, A., Kishore, R., Kumar, D., Indraja, V., & Krishna, V. H. (2016). A review on small scale wind turbines. Renewable and Sustainable Energy Reviews, 56, 1351–1371. doi: 10.1016/j.rser.2015.12.027
- Wai, R. J., Lin, C., & Chang, Y. (2007). Novel maximum-power extraction algorithm for PMSG wind generation system. IET Electric Power Applications, 1(2), 275–283. doi: 10.1049/iet-epa:20050514
- Wang, L. (2009). Model predictive control system design and implementation using MATLAB. London, UK: Springer-Verlag.
- Yang, Z., Li, Y., & Seem, J. E. (2015). Multi-model predictive control for wind turbine operation under meandering wake of upstream turbines. Control Engineering Practice, 45, 37–45. doi: 10.1016/j.conengprac.2015.08.009
- Yuan, Y., & Tang, J. (2017). Adaptive pitch control of wind turbine for load mitigation under structural uncertainties. Renewable Energy, 105, 483–494. doi: 10.1016/j.renene.2016.12.068
- Zhang, W. J., Li, Q., & Guo, L. S. (1999). Integrated design of mechanical structure and control algorithm for a programmable four-bar-linkage. IEEE/ASME Transactions Mechatron, 4(4), 345–362. doi: 10.1109/3516.809514