DocumentCode :
2937395
Title :
Quasi-LPV modelling and non-linear identification of a Twin Rotor System
Author :
Nejjari, Fatiha ; Rotondo, Damiano ; Puig, Vicenç ; Innocenti, Mario
Author_Institution :
Adv. Control Syst. Group (SAC), Univ. Politec. de Catalunya (UPC), Terrassa, Spain
fYear :
2012
fDate :
3-6 July 2012
Firstpage :
229
Lastpage :
234
Abstract :
This paper describes the experimental identification of the parameters of the Twin Rotor MIMO System (TRMS) non-linear model using data collected from the real lab set-up. From this non-linear model, a quasi-linear parameter varying (quasi-LPV) model has also been derived using a state transformation. This quasi-LPV model is approximated with a polytopic model using the bounding box approach. Such a model can later be used for control design. The model parameters have been calibrated by means of non-linear least-squares identification approach. Once the calibrated non-linear model has been obtained, a simulator has been built and validated against real data showing satisfactory results when compared to real data.
Keywords :
MIMO systems; aircraft; control system synthesis; least squares approximations; nonlinear systems; parameter estimation; rotors; TRMS nonlinear model; bounding box approach; control design; experimental parameter identification; nonlinear identification; nonlinear least-squares identification approach; polytopic model; quasiLPV modelling; quasilinear parameter varying model; real lab set-up; state transformation; twin rotor MIMO system nonlinear model; twin rotor system; Approximation methods; Data models; MIMO; Propellers; Rotors; Transmission line measurements; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control & Automation (MED), 2012 20th Mediterranean Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4673-2530-1
Electronic_ISBN :
978-1-4673-2529-5
Type :
conf
DOI :
10.1109/MED.2012.6265643
Filename :
6265643
Link To Document :
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