Improving the identification from relay feedback experiments
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Títol
Improving the identification from relay feedback experimentsData de publicació
2022-01Editor
ElsevierISSN
0005-1098Cita bibliogràfica
Miguel-Escrig, O.; Romero-Pérez, JA. (2022). Improving the identification from relay feedback experiments. Automatica. 135: 109987. https://doi.org/10.1016/j.automatica.2021.109987Tipus de document
info:eu-repo/semantics/bookVersió de l'editorial
https://www.sciencedirect.com/science/article/pii/S0005109821005136Versió
info:eu-repo/semantics/submittedVersionParaules clau / Matèries
Resum
This paper proposes a new method for systems identification from relay feedback test. As a difference with most of the existing methods, which are based on the describing function technique, our proposal considers a ... [+]
This paper proposes a new method for systems identification from relay feedback test. As a difference with most of the existing methods, which are based on the describing function technique, our proposal considers a more precise approach that allows to improve the estimation results. Furthermore, the method has also the advantage of being easy to implement, which makes it to stand out among other methods that require introducing additional elements on the loop or extend the experiment duration. The validity of the proposed method has been proved using a batch of models that represent the most common dynamic behaviors of actual industrial processes. The study reveals that with the new proposal, using data from a simple relay experiment, the error in the estimation for some kind of systems can be considerably reduced with respect to previous approaches. [-]
Publicat a
Automatica, 2022, vol. 135Entitat finançadora
Universitat Jaume I | Conselleria d'Educació, Investigació, Cultura i Esport
Codi del projecte o subvenció
18I411-UJI-B2018-39 | ACIF/2018/244
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Copyright © Elsevier B.V.
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info:eu-repo/semantics/openAccess
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/openAccess
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