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International Journal of Automation and Computing 2018, Vol. 15 Issue (2) :142-155    DOI: 10.1007/s11633-017-1103-x
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Feedforward Control for Wind Turbine Load Reduction with Pseudo-LIDAR Measurement
Jie Bao1, Hong Yue1, William E. Leithead1, Ji-Qiang Wang2
1 Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, G1 1XW, UK;
2 Jiangsu Province Key Laboratory of Aerospace Power System, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
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Abstract A gain-scheduled feedforward controller, based on pseudo-LIDAR (light detection and ranging) wind speed measurement, is designed to augment the baseline feedback controller for wind turbine's load reduction in above rated operation. The pseudo-LIDAR measurement data are generated from a commercial software-Bladed using a designed sampling strategy. The nonlinear wind turbine model has been simplified and linearised at a set of equilibrium operating points. The feedforward controller is firstly developed based on a linearised model at an above rated wind speed, and then expanded to the full above rated operational envelope by employing gain scheduling strategy. The combined feedforward and baseline feedback control is simulated on a 5MW industrial wind turbine model. Simulation studies demonstrate that the proposed control strategy can improve the rotor and tower load reduction performance for large wind turbines.
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KeywordsWind turbine control   light detection and ranging (LIDAR) measurement   feedforward control   load reduction   gain scheduling   disturbance rejection     
Received: 2017-02-16; Revised: 2017-09-28; published: 2017-09-28
Fund:

This work was supported by UK Engineering and Physical Sciences Research Council (EPSRC) Supergen Wind project (No. EP/N006224/1)

Corresponding Authors: Hong Yue     Email: hong.yue@strath.ac.uk
About author: Jie Bao received the B.Sc. and M.Sc. degrees in electronic and electrical engineering from the University of Strathclyde, UK in 2011 and 2012, respectively.E-mail:jie.bao@strath.ac.uk;Hong Yue received the B.Eng. and M.Sc. degrees in process control engineering from Beijing University of Chemical Technology.E-mail:hong.yue@strath.ac.uk;William E. Leithead received the B.Sc. degree in mathematical physics and the Ph.D. degree in theoretical physics from the University of Edinburgh.E-mail:w.leithead@strath.ac.uk;Ji-Qiang Wang received the B.Sc. degree in industrial engineering & management, both from Xi'an Jiaotong University. E-mail:jiqiang.wang@nuaa.edu.cn
Cite this article:   
Jie Bao, Hong Yue, William E. Leithead, Ji-Qiang Wang. Feedforward Control for Wind Turbine Load Reduction with Pseudo-LIDAR Measurement[J]. International Journal of Automation and Computing , vol. 15, no. 2, pp. 142-155, 2018.
URL:  
http://www.ijac.net/EN/10.1007/s11633-017-1103-x      或     http://www.ijac.net/EN/Y2018/V15/I2/142
 
[1] E. Bossanyi. The design of closed loop controllers for wind turbines. Wind energy, vol. 3, no. 3, pp. 149-163, 2000.
[2] W. Leithead and B. Connor. Control of variable speed wind turbines:design task. International Journal of Control, vol. 73, no. 13, pp. 1189-1212, 2000.
[3] H. d. B. Fernando D. Bianchi, Ricardo J. Mantz. Wind Turbine Control Systems:Principles, Modelling and Gain Scheduling Design. 1 ed.:Springer-Verlag London, 2007.
[4] E. Bossanyi. Wind turbine control for load reduction. Wind energy, vol. 6, no. 3, pp. 229-244, 2003.
[5] W. Leithead and S. Dominguez. Controller design for the cancellation of the tower fore-aft mode in a wind turbine. In Proceedings of the 44th IEEE Conference on Decision and Control, IEEE, pp. 1276-1281, 2005.
[6] W. Leithead, S. Dominguez and C. Spruce. Analysis of tower/blade interaction in the cancellation of the tower fore-aft mode via control. In European Wind Energy Conference 2004, London, UK, 2004.
[7] W. E. Leithead and S. Dominguez. Coordinated control design for wind turbine control systems. In Proceedings of European Wind Energy Conference and Exhibition, Athens, Greece, 2006.
[8] E. Bossanyi. Individual blade pitch control for load reduction. Wind energy, vol. 6, no. 2, pp. 119-128, 2003.
[9] Y. Han and W. Leithead. Combined wind turbine fatigue and ultimate load reduction by individual blade control. In Journal of physics:Conference series, IOP Publishing, pp. 012062, 2014.
[10] M. Harris, M. Hand and A. Wright. Lidar for turbine control. NREL/TP-500-39154, National Renewable Energy Laboratory, Golden, CO, USA, 2006.
[11] T. Mikkelsen et al. Lidar wind speed measurements from a rotating spinner. In 2010 European Wind Energy Conference and Exhibition, Warsaw, Poland, 2010.
[12] M. Sjöholm, T. Mikkelsen, J. Mann, K. Enevoldsen and M. Courtney. Spatial averaging-effects on turbulence measured by a continuous-wave coherent lidar. Meteorologische Zeitschrift, vol. 18, no. 3, pp. 281-287, 2009.
[13] D. A. Smith et al. Wind lidar evaluation at the Danish wind test site in Høvsøre. Wind Energy, vol. 9, no. 1-2, pp. 87-93, 2006.
[14] D. Schlipf and M. Kühn. Prospects of a collective pitch control by means of predictive disturbance compensation assisted by wind speed measurements. In Proceedings of the 9th German Wind Energy Conference DEWEK, Bremen, Germany, 2008.
[15] D. Schlipf, E. Bossanyi, C. E. Carcangiu, T. Fischer, T. Maul and M. Rossetti. LIDAR assisted collective pitch control. UpWind Deliverable D5.1.3, Stuttgart, 2011.
[16] J. Laks, L. Pao and A. Wright. Combined feedforward/feedback control of wind turbines to reduce blade flap bending moments. In Proceedings of the 47th AIAA Aerospace Sciences Meeting, Orlando, FL, USA, 2009.
[17] F. Dunne et al. Comparison of two independent lidar-based pitch control designs. In 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, National Renewable Energy Laboratory, Nashville, Tennessee, USA, 2012.
[18] F. Dunne, L. Y. Pao, A. D. Wright, B. Jonkman and N. Kelley. Adding feedforward blade pitch control to standard feedback controllers for load mitigation in wind turbines. Mechatronics, vol. 21, no. 4, pp. 682-690, 2011.
[19] J. Laks, L. Pao, A. Wright, N. Kelley and B. Jonkman. The use of preview wind measurements for blade pitch control. Mechatronics, vol. 21, no. 4, pp. 668-681, 2011.
[20] N. Wang, K. E. Johnson and A. D. Wright. FX-RLS-based feedforward control for LIDAR-enabled wind turbine load mitigation. IEEE Transactions on Control Systems Technology, vol. 20, no. 5, pp. 1212-1222, 2012.
[21] J. Laks, L. Y. Pao, E. Simley, A. Wright, N. Kelley and B. Jonkman. Model predictive control using preview measurements from lidar. In Proceedings of the 49th AIAA Aerospace Sciences Meeting, Orlando, FL, USA, 2011.
[22] D. Schlipf, L. Y. Pao and P. W. Cheng. Comparison of feedforward and model predictive control of wind turbines using LIDAR. In 51st IEEE Conference on Decision and Control, Maui, USA, pp. 3050-3055, 2012.
[23] D. Schlipf, D. J. Schlipf and M. Kühn. Nonlinear model predictive control of wind turbines using LIDAR. Wind Energy, vol. 16, no. 7, pp. 1107-1129, 2013.
[24] A. Scholbrock et al. Field testing LIDAR based feed-forward controls on the NREL controls advanced research turbine. In 51th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, Grapevine, Texas, USA, 2013.
[25] D. Schlipf et al. Field testing of feedforward collective pitch control on the CART2 using a nacelle-based lidar scanner. In Journal of Physics:Conference Series, IOP Publishing, pp. 012090, 2014.
[26] F. Haizmann et al. Optimization of a feed-forward controller using a CW-lidar system on the CART3. In American Control Conference (ACC), Chicago, IL, USA, pp. 3715-3720, 2015.
[27] N. Wang, K. E. Johnson and A. D. Wright. Comparison of strategies for enhancing energy capture and reducing loads using LIDAR and feedforward control. IEEE Transactions on Control Systems Technology, vol. 21, no. 4, pp. 1129-1142, 2013.
[28] D. Schlipf et al. Prospects of optimization of energy production by lidar assisted control of wind turbines. In European Wind Energy Association Annual Event, Brussels, Belgium, 2011.
[29] E. Bossanyi, A. Kumar and O. Hugues-Salas. Wind turbine control applications of turbine-mounted LIDAR. In Journal of Physics:Conference Series, IOP Publishing, pp. 012011, 2014.
[30] L. Y. P. Eric Simley, Rod Frehlich, Bonnie Jonkman, Neil Kelley. Analysis of Wind Speed Measurements using Continuous Wave LIDAR for Wind Turbine Control. In 49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, Orlando, Florida, USA, 2011.
[31] E. Bossanyi. Un-freezing the turbulence:application to LiDAR-assisted wind turbine control. IET Renewable Power Generation, vol. 7, no. 4, pp. 321-329, 2013.
[32] D. Schlipf, P. W. Cheng and J. Mann. Model of the Correlation between Lidar Systems and Wind Turbines for Lidar-Assisted Control. Journal of Atmospheric and Oceanic Technology, vol. 30, no. 10, pp. 2233-2240, 2013.
[33] E. Simley and L. Y. Pao. A longitudinal spatial coherence model for wind evolution based on large-eddy simulation. In American Control Conference (ACC), IEEE, Chicago, IL, USA, pp. 3708-3714, 2015.
[34] J. Laks, E. Simley and L. Pao. A spectral model for evaluating the effect of wind evolution on wind turbine preview control. In American Control Conference (ACC), 2013, IEEE, pp. 3673-3679, 2013.
[35] E. Simley and L. Pao. Reducing LIDAR wind speed measurement error with optimal filtering. In American Control Conference (ACC), IEEE, Washington, DC, USA, pp. 621-627, 2013.
[36] F. Dunne, L. Y. Pao, D. Schlipf and A. K. Scholbrock. Importance of lidar measurement timing accuracy for wind turbine control. In American Control Conference (ACC), IEEE, Portland, OR, USA, pp. 3716-3721, 2014.
[37] E. Simley, N. Angelou, T. Mikkelsen, M. Sjöholm, J. Mann and L. Y. Pao. Characterization of wind velocities in the upstream induction zone of a wind turbine using scanning continuous-wave lidars. Journal of Renewable and Sustainable Energy, vol. 8, no. 1, pp. 013301, 2016.
[38] J. Bao, H. Yue, W. E. Leithead and J. Wang. LIDAR-assisted wind turbine gain scheduling control for load reduction. In 22nd International Conference on Automation and Computing (ICAC16), Colchester, UK, pp. 15-20, 2016.
[39] P. S. Veers. Three-dimensional wind simulation, Sandia National Labs., Albuquerque, NM (USA), 1988.
[40] W. Leithead and B. Connor. Control of variable speed wind turbines:dynamic models. International Journal of Control, vol. 73, no. 13, pp. 1173-1188, 2000.
[41] W. Leithead, D. Leith, F. Hardan and H. Markou. Global gain-scheduling control for variable speed wind turbines. In European Wind Energy Conference, Nice, France, pp. 853-856, 1999.
[42] M. Tomizuka. Zero phase error tracking algorithm for digital control. Journal of Dynamic Systems, Measurement, and Control, vol. 109, no. 1, pp. 65-68, 1987.
[43] H. Romdhane, K. Dehri and A. S. Nouri. Second order sliding mode control for discrete decouplable multivariable systems via input-output models. International Journal of Automation and Computing, vol. 12, no. 6, pp. 630-638, 2015.
[44] R. Garraoui, M. Ben Hamed and L. Sbita. A robust optimization technique based on first order sliding mode approach for photovoltaic power systems. International Journal of Automation and Computing, vol. 12, no. 6, pp. 620-629, 2015.
[45] Z.-Q. Wu and J.-P. Xie. Design of Adaptive Robust Guaranteed Cost Controller for Wind Power Generator. International Journal of Automation and Computing, vol. 10, no. 2, pp. 111-117, 2013.
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