An instrumental variable method for closed-loop identification of coreless linear motors

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Samenvatting

This paper presents an instrumental variable (IV) method dedicated to identification of coreless linear motors (CLMs) operating in closed-loop. The dynamics of a CLM can be described as a linear dynamical system preceded by a static input gain that is nonlinearly dependent on the output. The nonlinear dependency on the output makes it challenging to find an appropriate predictor for identification. In this paper, we introduce a linear-in-the-parameter predictor for the CLM dynamics, which is a modification of the nonlinear autoregressive exogenous (NARX) model. It is proven that the IV method using the introduced predictor results in a consistent estimate. In addition, we show that in many applications, the simple NARX predictor, which does not require knowledge of the statistical properties of the output measurement noise, can provide an estimate that is very close to the true parameter. A numerical example is shown for demonstration.

Originele taal-2Engels
Titel2018 Annual American Control Conference, ACC 2018
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's5219-5224
Aantal pagina's6
Volume2018-June
ISBN van geprinte versie9781538654286
DOI's
StatusGepubliceerd - 9 aug 2018
Evenement2018 Annual American Control Conference, (ACC2018) - Milwauke, Verenigde Staten van Amerika
Duur: 27 jun 201829 jun 2018
http://acc2018.a2c2.org/
http://acc2018.a2c2.org/

Congres

Congres2018 Annual American Control Conference, (ACC2018)
Verkorte titelACC2018
LandVerenigde Staten van Amerika
StadMilwauke
Periode27/06/1829/06/18
Internet adres

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  • Citeer dit

    Nguyen, T. T., Lazar, M., Butler, H., & Van den Hof, P. M. J. (2018). An instrumental variable method for closed-loop identification of coreless linear motors. In 2018 Annual American Control Conference, ACC 2018 (Vol. 2018-June, blz. 5219-5224). Institute of Electrical and Electronics Engineers. https://doi.org/10.23919/ACC.2018.8431480