Abstract
The problem of rotorcraft system identification is considered and a novel, two step technique is proposed, which combines the advantages of time domain and frequency domain methods. In the first step, the identification of a black-box model using a subspace model identification method is carried out, using a technique which can deal with data generated under feedback; subsequently, in the second step, a-priori information on the model structure is enforced in the identified model using an H ∞ model matching method. A simulation study is used to illustrate the proposed approach.
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References
Apkarian, P., Noll, D.: Nonsmooth H ∞ synthesis. IEEE Transactions on Automatic Control 51(1), 71–86 (1996)
Bergamasco, M.: Continuous-time model identification with applications to rotorcraft dynamics. PhD thesis, Politecnico di Milano (2012)
Bergamasco, M., Lovera, M.: Recovering structured models from unstructured ones: an H ∞ approach (submitted)
Bergamasco, M., Lovera, M.: Continuous-time subspace identification in closed-loop. In: 19th International Symposium on Mathematical Theory of Networks and Systems, Budapest, Hungary (2010)
Bergamasco, M., Lovera, M.: Continuous-time predictor-based subspace identification for helicopter dynamics. In: 37th European Rotorcraft Forum, Gallarate, Italy (2011)
Bergamasco, M., Lovera, M.: Continuous-time predictor-based subspace identification using Laguerre filters. IET Control Theory and Applications 5(7), 856–867 (2011); Special issue on Continuous-time Model Identification
Bittanti, S., Lovera, M.: Identification of linear models for a hovering helicopter rotor. In: Proceedings of the 11th IFAC Symposium on system identification, Fukuoka, Japan (1997)
Bittanti, S., Lovera, M.: Bootstrap-based estimates of uncertainty in subspace identification methods. Automatica 36(11), 1605–1615 (2000)
Chiuso, A., Picci, G.: Consistency analysis of certain closed-loop subspace identification methods. Automatica 41(3), 377–391 (2005)
Gahinet, P., Apkarian, P.: Decentralized and fixed-structure H ∞ control in matlab. In: 50th IEEE Conference on Decision and Control and European Control Conference, Orlando, USA (2011)
Huang, B., Ding, S.X., Qin, S.J.: Closed-loop subspace identification: an orthogonal projection approach. Journal of Process Control 15(1), 53–66 (2005)
Jategaonkar, R.: Flight Vehicle System Identification. AIAA (2006)
Johansson, R., Verhaegen, M., Chou, C.T.: Stochastic theory of continuous-time state-space identification. IEEE Transactions on Signal Processing 47(1), 41–51 (1999)
Kinoshita, Y., Ohta, Y.: Continuous-time system identification using compactly supported filter kernels generated from Laguerre basis functions. In: 49th IEEE Conference on Decision and Control, Atlanta, USA (2010)
Li, P., Postlethwaite, I.: Subspace and bootstrap-based techniques for helicopter model identification. Journal of the American Helicopter Society 56(1), 012002 (2011)
Lovera, M.: Identification of MIMO state space models for helicopter dynamics. In: 13th IFAC Symposium on System Identification, Rotterdam, The Nederlands (2003)
Ohta, Y.: Realization of input-output maps using generalized orthonormal basis functions. Systems & Control Letters 22(6), 437–444 (2005)
Ohta, Y.: System transformation of unstable systems induced by a shift-invariant subspace. In: 50th IEEE Conference on Systems and Control (2011) (submitted)
Ohta, Y., Kawai, T.: Continuous-time subspace system identification using generalized orthonormal basis functions. In: 16th International Symposium on Mathematical Theory of Networks and Systems, Leuven, Belgium (2004)
Tischler, M., Cauffman, M.: Frequency-response method for rotorcraft system identification: Flight applications to BO-105 coupled rotor/fuselage dynamics. Journal of the American Helicopter Society 37(3), 3–17 (1992)
Tischler, M., Remple, R.: Aircraft And Rotorcraft System Identification: Engineering Methods With Flight-test Examples. AIAA (2006)
Van Overschee, P., De Moor, B.: Subspace identification: theory, implementation, application. Kluwer Academic Publishers (1996)
Verhaegen, M.: Identification of the deterministic part of MIMO state space models given in innovations form from input-output data. Automatica 30(1), 61–74 (1994)
Verhaegen, M., Varga, A.: Some experience with the MOESP class of subspace model identification methods in identifying the BO105 helicopter. Technical Report TR R165-94, DLR (1994)
Verhaegen, M., Verdult, V.: Filtering and System Identification: A Least Squares Approach. Cambridge University Press (2007)
Zhou, K., Doyle, J., Glover, K.: Robust and optimal control. Prentice Hall (1996)
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Bergamasco, M., Lovera, M. (2013). Rotorcraft System Identification: An Integrated Time-Frequency Domain Approach. In: Chu, Q., Mulder, B., Choukroun, D., van Kampen, EJ., de Visser, C., Looye, G. (eds) Advances in Aerospace Guidance, Navigation and Control. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38253-6_11
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DOI: https://doi.org/10.1007/978-3-642-38253-6_11
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