Tuning procedure for event-based PI controllers under regular quantization with hysteresis
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Título
Tuning procedure for event-based PI controllers under regular quantization with hysteresisFecha de publicación
2021-04-20Editor
ElsevierISSN
0016-0032Cita bibliográfica
O. Miguel-Escrig and J.-A. Romero-Pérez, Tuning procedure for event-based PI controllers under regular quantization with hysteresis, Journal of the Franklin Institute, https:// doi.org/ 10.1016/ j.jfranklin.2021. 04.004Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.sciencedirect.com/journal/journal-of-the-franklin-instituteVersión
info:eu-repo/semantics/acceptedVersionPalabras clave / Materias
Resumen
In this paper a tuning procedure is proposed for event based PI controllers with Regular Quantization with Hysteresis (RQH) sampling law. The RQH is a generalization of Symmetric Send on Delta (SSOD) strategy which ... [+]
In this paper a tuning procedure is proposed for event based PI controllers with Regular Quantization with Hysteresis (RQH) sampling law. The RQH is a generalization of Symmetric Send on Delta (SSOD) strategy which decreases the robustness requirements to avoid limit cycle oscillations and reduce the number of events needed for control, improving the overall performance of PI controllers in networked control systems. The tuning procedure takes into account not only classical robustness margins but also takes advantage of some specific robustness measures to avoid limit cycle oscillations induced by the sampler. As the robustness analysis depends on the Describing Function (DF) method, a study evaluating the effect of high order harmonics is provided, showing the validity of the tuning procedure. Some examples are included in which the usefulness of the tuning procedure is shown. [-]
Publicado en
Journal of the Franklin Institute. Available online 20 April 2021Entidad financiadora
Ministerio de Ciencia e Innovación | Universitat Jaume I
Código del proyecto o subvención
TEC2015-69155-R | 18I411-Uji-b2018-39 | ACIF/2018/244
Derechos de acceso
0016-0032/© 2021 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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