Nonlinear model predictive control of floating wind turbines with individual pitch control

Proceedings of the American Control Conference

Volumn , Issue , 2014, Pages 4434-4439

  Raach, Steffen ^a   Schlipf, David ^a   Sandner, Frank ^a   Matha, Denis ^a   Cheng, Po Wen ^a  

^a UNIVERSITY OF STUTTGART   (Germany)

Author keywords

Aerospace; Predictive control for nonlinear systems; Reduced order modeling

Indexed keywords

AERODYNAMICS; MODEL PREDICTIVE CONTROL; NONLINEAR SYSTEMS; OFFSHORE WIND TURBINES; PREDICTIVE CONTROL SYSTEMS; STOCHASTIC SYSTEMS;

AEROSPACE; COLLECTIVE PITCH CONTROLS; FLOATING OFFSHORE WIND TURBINES; INDIVIDUAL PITCH CONTROL; MODEL-PREDICTIVE CONTROL APPROACH; NONLINEAR MODEL PREDICTIVE CONTROL; PREDICTIVE CONTROL; REDUCED ORDER MODELS;

CONTROLLERS;

EID: 84905695496     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACC.2014.6858718     Document Type: Conference Paper

References (29)

1. C. Butterfield, W. Musial, and J. Jonkman, "Engineering challenges for floating offshore wind turbines", in the Proceedings of the Copenhagen Offshore Wind Conference, Copenhagen, Denmark, 2005.
2. J. Jonkman, "Dynamics modeling and loads analysis of an offshore floating wind turbine", National Renewable Energy Laboratory, Golden (Colorado), USA, Tech. Rep. TP-500-41958, 2007.
3. F. Sandner, D. Schlipf, D. Matha, R. Seifried, and P. W. Cheng, "Reduced nonlinear model of a spar-mounted floating wind turbine", in the Proceedings of the German Wind Energy Conference - DEWEK, Bremen, Germany, 2012.
4. G. Betti, M. Farina, G. A. Guagliardo, M. Andrea, and R. Scattolini, "Development of a control-oriented model of floating wind turbines", IEEE Transactions on Control Systems Technology, 2013.
5. T. J. Larsen and T. D. Hanson, "A method to avoid negative damped low frequent tower vibrations for a floating, pitch controlled wind turbine", Journal of Physics: Conference Series, vol. 75, p. 012073, 2007.
6. J. E. Withee, "Fully coupled dynamic analysis of a floating wind turbine system", Ph. D. dissertation, Massachusetts Institute of Technology, 2004.
7. E. Wayman, P. Sclavounos, S. Butterfield, J. Jonkman, and W. Musial, "Coupled dynamic modeling of floating wind turbine systems", in Offshore Technology Conference, Houston (Texas), USA, 2006.
8. E. Lindeberg, "Optimal control of floating offshore wind turbines", Ph. D. dissertation, Norwegian University of Science and Technology, Trondheim, Norway, 2009.
9. A. Härer, D. Matha, D. Kucher, and F. Sandner, "Optimization of offshore wind turbine components in multi-body simulations for cost and load reduction", in Proceedings of the EWEA Offshore, Frankfurt, 2013, pp. 1-7.
10. F. Sandner, D. Schlipf, D. Matha, and P. W. Cheng, "Integrated Optimization Of Floating Wind Turbine Systems", in Proceedings of the 33rd International Conference on Ocean, Offshore and Arctic Engineering, 2014.
11. B. Fischer, "Reducing rotor speed variations of floating wind turbines by compensation of non-minimum phase zeros", in the Proceedings of the European Wind Energy Association Annual Event, Copenhagen, Denmark, 2012.
12. F. G. Nielsen, B. Skaare, J. O. G. Tande, I. Norheim, and K. Uhlen, "Method for damping tower vibrations in a wind turbine installation", US Patent 20 080 260 514 A1, 2012.
13. T. Bakka and H. R. Karimi, "Robust output feedback hinf control synthesis with pole placement for offshore wind turbine systems: An lmi approach", in in the Proceedings of IEEE International Conference on Control Applications (CCA), Dubrovnik, Croatia, 2012.
14. M. Lackner, "An investigation of variable power collective pitch control for load mitigation of floating offshore wind turbines", Wind Energy, vol. 16, no. 3, pp. 435-444, 2013.
15. H. Namik and K. Stol, "Individual blade pitch control of floating offshore wind turbines", Wind Energy, vol. 13, no. 1, pp. 74-85, 2010.
16. M. Mirzaei, M. Soltani, N. K. Poulsen, and H. H. Niemann, "An mpc approach to individual pitch control of wind turbines using uncertain lidar measurements", in the Proceedings of the European Control Conference, Zürich, Switzerland, 2013.
17. L. C. Henriksen, "Model predictive control of wind turbines", Ph. D. dissertation, Technical University of Denmark, Lyngby, Denmark, 2010.
18. D. Schlipf, L. Y. Pao, and P. W. Cheng, "Comparison of feedforward and model predictive control of wind turbines using lidar", in the Proceedings of the 51st Annual Conference on Decision and Control (CDC), IEEE, Maui (Hawai), USA, 2012.
19. M. D. Spencer, K. A. Stol, C. P. Unsworth, J. E. Cater, and S. E. Norris, "Model predictive control of a wind turbine using shortterm wind field predictions", Wind Energy, vol. 16, pp. 417-434, 2013.
20. D. Schlipf, F. Sandner, S. Raach, D. Matha, and P. W. Cheng, "Nonlinear model predictive control of floating wind turbines", in the Proceedings of the 23rd International Ocean and Polar Engineering Conference - ISOPE, Anchorage (Alaska), USA, 2013.
21. J. Jonkman and M. Buhl Jr., "FAST User's Guide", National Renewable Energy Laboratory, Golden (Colorado), USA, Tech. Rep. EL-500-38230, 2005.
22. W. Schiehlen and P. Eberhard, Technische Dynamik. Wiesbaden, Germany: B. G. Teubner, 2012.
23. T. Burton, N. Jenkins, D. Sharpe, and E. Bossanyi, Wind Energy Handbook. Chichester, United Kingdom: John Wiley & Sons, Ltd, 2011.
24. D. Schlipf, D. J. Schlipf, and M. Kühn, "Nonlinear model predictive control of wind turbines using lidar", Wind Energy, 2012.
25. P. J. Moriarty and A. C. Hansen, "AeroDyn Theory Manual", National Renewable Energy Laboratory, Golden (Colorado), USA, Tech. Rep. TP-500-36881, 2005.
26. E. Bossanyi, "Wind turbine control for load reduction", Wind Energy, vol. 6, pp. 229-244, 2003.
27. R. Findeisen, "Nonlinear Model Predictive Control: A Sampled-Data Feedback Perspective", Ph. D. dissertation, 2004.
28. R. Franke, "Omuses - a tool for the optimization of multistage systems and hqp a solver for sparse nonlinear optimization", TU Ilmenau, Tech. Rep., 1998.
29. S. Raach, D. Schlipf, F. Haizmann, and P. W. Cheng, "Three dimensional dynamic model based wind field reconstruction from lidar data", 2014, submitted to The Science of Making Torque from Wind, Kopenhagen, Denmark.