Tuning PID controllers with Symmetric Send-on-Delta sampling strategy
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Altres documents de l'autoria: Miguel-Escrig, Oscar; Romero Pérez, Julio Ariel; Sanchis LLopis, Roberto
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Tuning PID controllers with Symmetric Send-on-Delta sampling strategyData de publicació
2019-10-23Editor
ElsevierCita bibliogràfica
MIGUEL-ESCRIG, Oscar; ROMERO-PÉREZ, Julio-Ariel; SANCHIS-LLOPIS, Roberto. Tuning PID controllers with symmetric send-on-delta sampling strategy. Journal of the Franklin Institute, 2019.Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
https://www.sciencedirect.com/science/article/pii/S0016003219307380Versió
info:eu-repo/semantics/submittedVersionParaules clau / Matèries
Resum
A procedure for tuning PID controllers with SSOD sampling for FOPTD systems is proposed. It is based on the definition of a new robustness measure to avoid limit cycle oscillations, called the Tsypkin margin (MT). ... [+]
A procedure for tuning PID controllers with SSOD sampling for FOPTD systems is proposed. It is based on the definition of a new robustness measure to avoid limit cycle oscillations, called the Tsypkin margin (MT). This margin is based on the Tsypkin method and does not rely on the attenuation of high order harmonics, as the describing function approaches require. Therefore, the avoidance of limit cycle oscillations can be guaranteed for any system, as a difference with the describing function based procedures. The procedure allows to obtain the PID controller that minimizes the disturbance IAE while fulfilling constraints on robustness to oscillations and on control action bumps due to the SSOD sampling. A freely available Java tool has been developed in order to simplify the application of the tuning procedure. In case of a non FOPTD system, it first calculates an approximate FOPTD model. The paper shows that the derivative filter parameter, N is a critical tuning parameter in order to find a compromise between performance and control action bumps. [-]
Proyecto de investigación
Spanish government, MICINN (projectTEC2015-69155-R) ; Universitat Jaume I (project 18I411-Uji-b2018-39) ; CEICE (grant ACIF/2018/244).Drets d'accés
© 2019 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
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