Tuning procedure for event-based PI controllers under regular quantization with hysteresis
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comunitat-uji-handle3:10234/8619
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Title
Tuning procedure for event-based PI controllers under regular quantization with hysteresisDate
2021-04-20Publisher
ElsevierISSN
0016-0032Bibliographic citation
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. 04.004Type
info:eu-repo/semantics/articlePublisher version
https://www.sciencedirect.com/journal/journal-of-the-franklin-instituteVersion
info:eu-repo/semantics/acceptedVersionSubject
Abstract
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. [-]
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Journal of the Franklin Institute. Available online 20 April 2021Funder Name
Ministerio de Ciencia e Innovación | Universitat Jaume I
Project code
TEC2015-69155-R | 18I411-Uji-b2018-39 | ACIF/2018/244
Rights
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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