Open Access
| Issue |
E3S Web Conf.
Volume 72, 2018
2018 The International Conference on Electrical Engineering and Green Energy (CEEGE 2018)
|
|
|---|---|---|
| Article Number | 01008 | |
| Number of page(s) | 6 | |
| Section | Power Electronics Technology and Electrical Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/20187201008 | |
| Published online | 05 December 2018 | |
- B. Boukhezzar, L. Lupu, H. Siguerdidjane, et al. Multivariable control strategy for variable speed, variable pitch wind turbines. Renewable Energy, 32(8):1273-1287 (2007). [CrossRef] [Google Scholar]
- A. Mechter, K. Kemih, M. Ghanes. Backstepping control of a wind turbine for low wind speeds. Nonlinear Dynamics, 84(4):2435-2445 (2016). [Google Scholar]
- A. Bektache, B. Boukhezzar. Nonlinear predictive control of a DFIG-based wind turbine for power capture optimization. Int. J. Elec. Power, 101:92-102 (2018). [CrossRef] [Google Scholar]
- S. M. R. Kazmi, H. Goto, H. J. Guo, et al. A Novel Algorithm for Fast and Efficient Speed-Sensorless Maximum Power Point Tracking in Wind Energy Conversion Systems. IEEE T. Ind. Electron, 58(1):29-36 (2010). [CrossRef] [Google Scholar]
- D. C. Phan, S. Yamamoto. Rotor speed control of doubly fed induction generator wind turbines using adaptive maximum power point tracking. Eng., 111:377-388 (2016). [Google Scholar]
- M. M. Hand, M. J. Balas. Non-Linear and Linear Model Based Controller Design for Variable-Speed Wind Turbines. (New York American Society of Mechanical Engineers, 1999) [CrossRef] [Google Scholar]
- X. Yao, C. Guo, Z. Xing, et al. Pitch regulated LQG controller design for variable speed wind turbine. International Conference on Mechatronics and Automation, 845-849 (2009). [Google Scholar]
- X. Wang, S. Hou, S. Wang, et al. Multi-objective optimization torque control of wind turbine based on LQG optimal control. Chinese Control and Decision Conference, 405-408 (2013). [Google Scholar]
- Y. M. Liu, E. Y. Yi, X. D. Wang, et al. Research on Capture the Maximum Wind Energy Base on Fuzzy PID Controller. App. Mech. & Materials, 268-270:1422-1425 (2013). [CrossRef] [Google Scholar]
- C. Xiao, L. Zhang, J. Yan. Fuzzy PID Controller for Wind Turbines. The Second International Conference on Intelligent Networks and Intelligent Systems.74-77 (2009). [Google Scholar]
- K. Ro, H. H. Choi. Application of neural network controller for maximum power extraction of a grid-connected wind turbine system. Elec. Eng., 88(1):45-53 (2005). [CrossRef] [Google Scholar]
- T. Diveux, P. Sebastian, D. Bernard, et al. Horizontal axis wind turbine systems: optimization using genetic algorithms. Wind Energy, 4(4):151–171 (2001). [CrossRef] [Google Scholar]
- B. Boukhezzar, H. Siguerdidjane. Nonlinear Control of a Variable-Speed Wind Turbine Using a Two-Mass Model. IEEE T. Energy Conver., 26(1):149-162 (2011). [CrossRef] [Google Scholar]
- X. Liu, X. Kong. Nonlinear Model Predictive Control for DFIG-Based Wind Power Generation. IEEE T. Auto. Sci. Eng., 11(4):1046-1055 (2014). [CrossRef] [Google Scholar]
- Y. Zhang, D. S. Naidu, C. X. Cai, and Y. Zou, Singular perturbation and Time Scales in Control Theories and Applications: An Overview 2002-2012, Inter. J. Infor. & Sys. Sci., 9: 1-36 (2014). [Google Scholar]
- D. S. Naidu, Singular Perturbation Methodology in Control Systems (Peter Peregrinus Ltd., 1988). [CrossRef] [Google Scholar]
- K. Xu. Singular Perturbation in the Control Systems (Science China Press, 1986). [Google Scholar]
- L. Wang, Model Predictive Control System Design and Implementation Using MATLAB, (Springer, 2009). [Google Scholar]
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