Deterministic Performance Assessment and Retuning of Industrial Controllers Based on Routine Operating Data: Applications

Performance assessment and retuning techniques for proportional-integral-derivative (PID) controllers are reviewed in this paper. In particular, we focus on techniques that consider deterministic performance and that use routine operating data (that is, set-point and load disturbance step signals)....

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Main Authors: Massimiliano Veronesi, Antonio Visioli
Format: Article
Language:English
Published: MDPI AG 2015-02-01
Series:Processes
Subjects:
Online Access:http://www.mdpi.com/2227-9717/3/1/113
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spelling doaj-9924cd89cf4c4cf0ab5cd11ee4cc3e042020-11-25T00:17:51ZengMDPI AGProcesses2227-97172015-02-013111313710.3390/pr3010113pr3010113Deterministic Performance Assessment and Retuning of Industrial Controllers Based on Routine Operating Data: ApplicationsMassimiliano Veronesi0Antonio Visioli1Yokogawa Italia srl, Via Assunta 61, 20834 Nova Milanese (MB), ItalyDipartimento di Ingegneria Meccanica e Industriale, University of Brescia, Via Branze 38, 25123 Brescia, ItalyPerformance assessment and retuning techniques for proportional-integral-derivative (PID) controllers are reviewed in this paper. In particular, we focus on techniques that consider deterministic performance and that use routine operating data (that is, set-point and load disturbance step signals). Simulation and experimental results show that the use of integrals of predefined signals can be effectively employed for the estimation of the process parameters and, therefore, for the comparison of the current controller with a selected benchmark.http://www.mdpi.com/2227-9717/3/1/113industrial controllersperformance assessmenttuningmonitoring
collection DOAJ
language English
format Article
sources DOAJ
author Massimiliano Veronesi
Antonio Visioli
spellingShingle Massimiliano Veronesi
Antonio Visioli
Deterministic Performance Assessment and Retuning of Industrial Controllers Based on Routine Operating Data: Applications
Processes
industrial controllers
performance assessment
tuning
monitoring
author_facet Massimiliano Veronesi
Antonio Visioli
author_sort Massimiliano Veronesi
title Deterministic Performance Assessment and Retuning of Industrial Controllers Based on Routine Operating Data: Applications
title_short Deterministic Performance Assessment and Retuning of Industrial Controllers Based on Routine Operating Data: Applications
title_full Deterministic Performance Assessment and Retuning of Industrial Controllers Based on Routine Operating Data: Applications
title_fullStr Deterministic Performance Assessment and Retuning of Industrial Controllers Based on Routine Operating Data: Applications
title_full_unstemmed Deterministic Performance Assessment and Retuning of Industrial Controllers Based on Routine Operating Data: Applications
title_sort deterministic performance assessment and retuning of industrial controllers based on routine operating data: applications
publisher MDPI AG
series Processes
issn 2227-9717
publishDate 2015-02-01
description Performance assessment and retuning techniques for proportional-integral-derivative (PID) controllers are reviewed in this paper. In particular, we focus on techniques that consider deterministic performance and that use routine operating data (that is, set-point and load disturbance step signals). Simulation and experimental results show that the use of integrals of predefined signals can be effectively employed for the estimation of the process parameters and, therefore, for the comparison of the current controller with a selected benchmark.
topic industrial controllers
performance assessment
tuning
monitoring
url http://www.mdpi.com/2227-9717/3/1/113
work_keys_str_mv AT massimilianoveronesi deterministicperformanceassessmentandretuningofindustrialcontrollersbasedonroutineoperatingdataapplications
AT antoniovisioli deterministicperformanceassessmentandretuningofindustrialcontrollersbasedonroutineoperatingdataapplications
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