Auto-tuning method for PI controllers under Symmetric-Send-on-Delta sampling strategy
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Auto-tuning method for PI controllers under Symmetric-Send-on-Delta sampling strategyData de publicació
2024-06-27Editor
ElsevierISSN
0016-0032; 1879-2693Cita bibliogràfica
Romero-Pérez, Julio-Ariel, and Oscar Miguel-Escrig. "Auto-tuning method for PI controllers under Symmetric-Send-on-Delta sampling strategy." Journal of the Franklin Institute (2024): 106971.Tipus de document
info:eu-repo/semantics/articleVersió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
In this work, an auto-tuning method for PI controllers applied in a loop under a Symmetric-Send-On-Delta sampling strategy is proposed. Auto-tuning algorithms usually implement an identification phase to obtain some ... [+]
In this work, an auto-tuning method for PI controllers applied in a loop under a Symmetric-Send-On-Delta sampling strategy is proposed. Auto-tuning algorithms usually implement an identification phase to obtain some information about the system dynamic that is used for tuning the controller. In our proposal, two frequency response points are estimated through an iterative procedure. With this information, a simple tuning rule is applied which guarantees robustness against limit cycle oscillations that can be induced by the SSOD sampler. Both the robustness measure to limit cycles and the identification procedure are based on the describing function technique, whose validity in the networked control systems under study requires a low incidence of losing packets as well as the transmission delays to be known or negligible compared to the system’s dynamic. Comparatives with other classical tuning rules support the suitability of the proposed method. The auto-tuning procedure has been validated through a simulation study reflecting its applicability for the most common dynamics found in industrial processes. [-]
Publicat a
Journal of the Franklin Institute 361 (2024) 106971Dades relacionades
https://ars.els-cdn.com/content/image/1-s2.0-S0016003224003922-fx1009_lrg.jpg // https://ars.els-cdn.com/content/image/1-s2.0-S0016003224003922-fx1010.jpgEntitat finançadora
Universitat Jaume I
Codi del projecte o subvenció
UJI-B2021-45
Drets d'accés
0016-0032/© 2024 The Author(s). Published by Elsevier Inc. on behalf of The Franklin Institute
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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