Design, analysis, and learning control of a fully actuated micro wind turbine

Proceedings of the American Control Conference

Volumn , Issue , 2012, Pages 2256-2263

  Kolter, J Zico ^a   Jackowski, Zachary ^a   Tedrake, Russ ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COST FUNCTIONS; REINFORCEMENT LEARNING; WIND POWER; WIND TURBINES;

DYNAMICS MODELING; ENERGY SUSTAINABILITY; MICRO-WIND TURBINES; PRIMARY CONTRIBUTION; REINFORCEMENT LEARNING APPROACH; RENEWABLE ENERGIES; UNSTEADY AERODYNAMICS; WIND TURBINE CONTROL;

AERODYNAMICS;

EID: 84869390608     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/acc.2012.6315604     Document Type: Conference Paper

References (30)

1. Various, "Annual energy review 2009," U.S. Energy Information Administration, Tech. Rep., 2009.
2. -, "Annual energy outlook 2011," U.S. Energy Information Administration, Tech. Rep., 2010.
3. U. D. of Energy, "20% wind energy by 2030: Increasing wind energy's contribution to u.s. electricty supply," U.S. Department of Energy, Tech. Rep., 2008.
4. J. Manwell, J. McGowan, and A. Roberts, Wind Energy Explained: Theory, Design, and Application. Wiley, 2009.
5. K. E. Johnson, L. Fingersh, M. J. Balas, and L. Y. Pao, "Methods for increasing region 2 power capture on a variable-speed wind turbine," Transactions of the American Society of Mechanical Engineers, vol. 126, 2004.
6. T. Sebastian and M. Lackner, "Characterization of the unsteady aerodynamics of offshore floating wind turbines," Wind Energy, vol. 14, 2011.
7. R. J. Williams, "Simple statistical graident-follwoing algorithms for connectionist reinforcement learning," Machine Learning, vol. 8, no. 23, 1992.
8. P. Glynn, "Likelihood ratio gradient estimation: an overview," in Proceedigns of the 1987 Winter Simulation Conference, 1987.
9. T. Burton, D. Sharpe, N. Jenkins, and E. Bossanyi, Wind Energy Handbook. Wiley, 2001.
10. T.K.Barlas and G. van Kuik, "Review of state of the art in smart rotor control research for wind turbines," Progress in Aerospace Sciences, vol. 46, no. 1, pp. 1-27, 2010.
11. L. Y. Pao and K. E. Johnson, "Control of wind turbines: Approaches, challenges, and recent developments," IEEE Control Systems Magazine, vol. 31, pp. 44-62, 2011.
12. K. Pierce, "Control methods for improved energy capture below rated power," in Proceedings of the ASME/JSME Joint Fluids Engineering Conference, 1999.
13. J. Youqin, Y. Zhongging, and C. Binggang, "A new maximum power point tracking control scheme for wind generation," in Proceedings of the IEEE International Conference on Power Systems Technology, 2002.
14. E. Koutroulis and K. Kalaitzakis, "Deisng of a maximum power tracking system for wind-energy conversion applications," IEEE Transactions on Industrial Electronics, vol. 53, no. 2, pp. 386-394, 2006.
15. T. Hawkins, W. White, G. Hu, and F. D. Sahneh, "Wind turbine power capture control with robust estimation," in Proceedings of the Dynamic Systems and Control Conference, 2010.
16. J. Creaby, Y. Li, and J. Seem, "Maximizing wind turbine energy capture ssing multi-variable extremum seeking control," Wind Engineering, vol. 33, no. 4, pp. 361-387, 2009.
17. "NWTC Design Codes (FAST by Jason Jonkman, Ph.D.)," http://wind.nrel.gov/designcodes/simulators/fast/. Last modified 08-March-2012; accessed 15-March-2012.
18. "NWTC Design Codes (WT Perf by Marshall Buhl)," http://wind.nrel.gov/designcodes/simulators/wtperf/. Last modified 17-February-2011; accessed 15-March-2012.
19. L. Fingersh and K. Johnson, "Controls advanced research turbine (cart) commisioning and baseline data collection," National Renewable Energy Laboratory, Tech. Rep., 2002.
20. A. Wright, L. Fingersh, and M. Balas, "Testing state-space controls for the controls advanced research turbine," in Proceedings of the AIAA Aerospace Sciences Meeting and Exhibit, 2006.
21. K. A. Stol, W. Zhao, and A. D. Wright, "Individual blade pitch control for the controls advanced research turbine (cart)," Transactions of the ASME, vol. 128, pp. 498-505, 2006.
22. D. Adams, "Model identification and operating load characterization for a small horizontal axes wind turbine rotor using integrated blade sensors," in Proceedings of the Dynamic Systems and Control Conference, 2010.
23. K. L. Moore, "Iterative learning control: an expository overview," Applied and Computational Controls, Signal Processing, and Circuits, vol. 1, no. 1, pp. 151-214, 1999.
24. K. Ariyur and M. Krstic, Real-Time Optimization by Extremum- Seeking Control. Wiley, 2003.
25. E. Greensmith, P. L. Bartlett, and J. Baxter, "Variance reduction techniques for gradient estimates in reinforcement learning," Journal of Machine Learning Research, vol. 5, pp. 1471-1530, 2004.
26. J. Peters and S. Schaal, "Policy gradient methods for robotics," in Proceedings of the IEEE Conference on Intelligent Robotics Systems, 2006.
27. A. S. Huang, E. Olson, and D. Moore, "Lcm: Lightweight communications and marshalling," in Proceedings of the International Conference on Intelligent Robots and Systems, 2010.
28. M. Jabri and B. Flower, "Weight perturbation: an optimal architecture and learning technique for analog VSLI feedforward and recurrent multilayer networks," IEEE Transactions on Neural Networks, vol. 3, pp. 154-147, 1992.
29. S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge University Press, 2004.
30. J. Tang and P. Abbeel, "On a connection between importance sampling and the likelihood ratio policy gradient," in Neural Information Processing Systems, 2011.