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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Online Access: | http://www.mdpi.com/2227-9717/3/1/113 |
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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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