Abstract
Nonlinear systems, a category into which essentially all real-world engineering systems fall, are challenging in their design, response prediction, and control. Simulating their dynamic response requires numerical solvers, and the use of frequency-domain techniques is prohibited, which eliminates many commonly used engineering techniques. Subspace identification is a convenient method to approximate a complex, nonlinear system with a linear model, significantly enhancing simulation time and allowing the use of traditional control schemes. This paper investigates the utility of subspace identification for the National Renewable Energy Laboratory (NREL) 5 MW reference model, which runs on their open-source wind turbine simulator, FAST. The ability of the identified model to predict a variety of outputs is compared. The linear models found with subspace identification are used to create a simple gain-scheduled controller, and its performance is compared with the standard NREL 5 MW controller.
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References
Franklin GF, Powell JD, Emami-Naeini A, Powell JD (2014) Feedback control of dynamic systems, 7th edn. Addison-Wesley, Reading
Lewis F, Syrmos V (1995) Optimal control, 2nd edn. Wiley, New York
Qin SJ (2006) An overview of subspace identification. Comput Chem Eng 30(10):1502–1513
Jonkman JM, Butterfield S, Musial W, Scott G (2009) Definition of a 5-MW reference wind turbine for offshore system development. National Renewable Energy Laboratory, Golden, CO. Technical Report, NREL/TP-500-38060
Jonkman JM (2003) Modeling of the uae wind turbine for refinement of fast_ad. Master’s thesis, Colorado State University
Jonkman JM, Buhl ML Jr (2005) Fast user’s guide. National Renewable Energy Laboratory, Golden, CO. Technical Report, NREL/EL-500-38230
Overschee PV, Moor BD Subspace identification for linear systems: theory, implementation, applications. Kluwer Academic Publishers, Dordrecht (1996)
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© 2015 The Society for Experimental Mechanics, Inc.
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Rinker, J.M., Gavin, H.P. (2015). Subspace Identification of a 5 MW Reference Wind Turbine. In: Mains, M. (eds) Topics in Modal Analysis, Volume 10. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-15251-6_3
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DOI: https://doi.org/10.1007/978-3-319-15251-6_3
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-15250-9
Online ISBN: 978-3-319-15251-6
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