2014
DOI: 10.1109/tcst.2013.2257776
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Gain-Scheduled Smith Predictor PID-Based LPV Controller for Open-Flow Canal Control

Abstract: In this paper, a gain-scheduled Smith Predictor PID controller is proposed for the control of an open flow canal system that allows to deal with large variation in operating conditions. A linear parameter varying (LPV) control oriented model for open-flow channel systems based on a Second Order Delay Hayami (SODH) model is proposed. Exploiting the second order structure of this model, an LPV PID controller is designed using  H and linear matrix inequalities (LMI) pole placement. The controller structure inclu… Show more

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Cited by 41 publications
(23 citation statements)
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“…On the other hand, in order to cope with errors due to uncertainty in transport delays that are present in open-flow canal systems [18], following the ideas in [19], [20], the discrete residual has been computed as…”
Section: Fault Diagnosis In the Cfr Systemmentioning
confidence: 99%
“…On the other hand, in order to cope with errors due to uncertainty in transport delays that are present in open-flow canal systems [18], following the ideas in [19], [20], the discrete residual has been computed as…”
Section: Fault Diagnosis In the Cfr Systemmentioning
confidence: 99%
“…As an example, we consider the dam-gallery system analyzed in [8] and we focus on the transfer function between the upstream flow Q U and the downstream flow Q D . By using simplified Saint-Venant's equations, and choosing the downstream flow as scheduling parameter, this transfer function turns out to be, [8],…”
Section: Examplementioning
confidence: 99%
“…By using simplified Saint-Venant's equations, and choosing the downstream flow as scheduling parameter, this transfer function turns out to be, [8],…”
Section: Examplementioning
confidence: 99%
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“…On the other hand, an LPV Hayami model was proposed for fault detection and control purposes in (Blesa et al, 2010) and (Bolea et al 2013) with positive results. An equivalent modeling approach, named stateAuthors are with Automatic Control Department, Technical University of Catalonia (UPC).…”
Section: Introductionmentioning
confidence: 99%