This chapter presents the identification of a web-winding system as a linear parameter varying (LPV) system with the reel radius as the time-varying parameter. This system is nonlinear, time-varying and input–output unstable. Two identification methods are considered: in the first one, an LPV model is estimated in a single step using a novel approach based on sparse identification and set membership optimality evaluation. In the second one, several local linear time-invariant (LTI) models are identified using classical identification algorithms, and the overall LPV model is constructed as a weighted sum of the local models. The two methods are applied to experimental data measured on a real web-winding machine.
Experimental modeling of a web-winding machine: LPV approaches / Vuelvas, Jose; Ruiz, Fredy; Novara, Carlo. - (2019), pp. 57-74.
Titolo: | Experimental modeling of a web-winding machine: LPV approaches |
Autori: | |
Data di pubblicazione: | 2019 |
Titolo del libro: | Data-Driven Modeling, Filtering and Control: Methods and Applications |
Abstract: | This chapter presents the identification of a web-winding system as a linear parameter varying (L...PV) system with the reel radius as the time-varying parameter. This system is nonlinear, time-varying and input–output unstable. Two identification methods are considered: in the first one, an LPV model is estimated in a single step using a novel approach based on sparse identification and set membership optimality evaluation. In the second one, several local linear time-invariant (LTI) models are identified using classical identification algorithms, and the overall LPV model is constructed as a weighted sum of the local models. The two methods are applied to experimental data measured on a real web-winding machine. |
Appare nelle tipologie: | 2.1 Contributo in volume (Capitolo o Saggio) |
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http://hdl.handle.net/11583/2831718