Regular quantisation with hysteresis: a new sampling strategy for event-based PID control systems
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comunitat-uji-handle2:10234/7034
comunitat-uji-handle3:10234/8619
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Title
Regular quantisation with hysteresis: a new sampling strategy for event-based PID control systemsDate
2020-10-01Publisher
IEEEBibliographic citation
O. Miguel-Escrig and J. -A. Romero-Pérez, "Regular quantisation with hysteresis: a new sampling strategy for event-based PID control systems," in IET Control Theory & Applications, vol. 14, no. 15, pp. 2163-2175, 15 10 2020, doi: 10.1049/iet-cta.2020.0128.Type
info:eu-repo/semantics/articlePublisher version
https://ieeexplore.ieee.org/document/9210498Version
info:eu-repo/semantics/acceptedVersionSubject
Abstract
In this study, a new sampling strategy for networked control systems, called regular quantification with hysteresis (RQH), is proposed. This alternative presents some benefits with respect to symmetric-send-on-delta ... [+]
In this study, a new sampling strategy for networked control systems, called regular quantification with hysteresis (RQH), is proposed. This alternative presents some benefits with respect to symmetric-send-on-delta sampling, which is one of the most used strategies in the event-based proportional-integral-derivative (PID) control loops. The behaviour of the RQH is defined by two parameters, the signal quantification and hysteresis, whose effect on the overall system performance is studied and guidelines about its choice are given in terms of noise measurement and steady-state error. The limit cycle oscillations that could be induced by this sampling strategy are studied and new robustness measures to avoid them are proposed based on the describing function approach. The suitability of some tuning rules for continuous PI when applied to control systems with a RQH sampling is evaluated using the proposed measures. The results show that these tuning rules can be applied under certain conditions. [-]
Investigation project
MICINN, Spanish government, project no. TEC2015-69155-R) ; Universitat Jaume I (research project 18I411-b2018-39) ; CEICE (grant no. ACIF/2018/244)Rights
© The Institution of Engineering and Technology 2020
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info:eu-repo/semantics/openAccess
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/openAccess
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