Adaptive proportional–integral controller using OLE for process control for industrial applications
This article presents an implementation of an adaptive control architecture, which provides the combined advantages of better dynamic performance compared to other conventional industrial controllers, and the use of widely available hardware in process industry. Adaptive control architecture uses pr...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2017-09-01
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| Series: | International Journal of Advanced Robotic Systems |
| Online Access: | https://doi.org/10.1177/1729881417728467 |
| _version_ | 1818518824379482112 |
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| author | Marco A Paz Tania A Ramirez-delReal Suselle C Garibo Dejanira Araiza-Illan Carlos A DeLuna-Ortega Marving O Aguilar-Justo |
| author_facet | Marco A Paz Tania A Ramirez-delReal Suselle C Garibo Dejanira Araiza-Illan Carlos A DeLuna-Ortega Marving O Aguilar-Justo |
| author_sort | Marco A Paz |
| collection | DOAJ |
| description | This article presents an implementation of an adaptive control architecture, which provides the combined advantages of better dynamic performance compared to other conventional industrial controllers, and the use of widely available hardware in process industry. Adaptive control architecture uses proportional–integral action and dynamic computation of the controller’s gains (self-tuning regulator), to maintain performance specifications, even in the presence of parametric disturbances. This architecture offers advantages over other advanced embedded control systems implemented on industrial programmable logic controllers and other hardware platforms. Implementation of controllers on industrial hardware platforms is possible through the Object Linking and Embedding (OLE) for process control communication standard. The implementation for an adaptive controller here proposed was evaluated through experiments using first-order and overdamped second-order systems emulated by hardware-in-the-loop, with a programmable automation controller. Performance of the adaptive controllers was compared to that of conventional proportional–integral controllers, and effectiveness of the former over the latter was demonstrated through the experiments carried out. |
| first_indexed | 2024-12-11T01:15:35Z |
| format | Article |
| id | doaj.art-77547f407b2e4136b14df6c9cf188fb9 |
| institution | Directory Open Access Journal |
| issn | 1729-8814 |
| language | English |
| last_indexed | 2024-12-11T01:15:35Z |
| publishDate | 2017-09-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | International Journal of Advanced Robotic Systems |
| spelling | doaj.art-77547f407b2e4136b14df6c9cf188fb92022-12-22T01:25:52ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142017-09-011410.1177/1729881417728467Adaptive proportional–integral controller using OLE for process control for industrial applicationsMarco A Paz0Tania A Ramirez-delReal1Suselle C Garibo2Dejanira Araiza-Illan3Carlos A DeLuna-Ortega4Marving O Aguilar-Justo5 Academic Secretariat, Polytechnic University of Aguascalientes, Aguascalientes, Mexico Academic Secretariat, Polytechnic University of Aguascalientes, Aguascalientes, Mexico Academic Secretariat, Polytechnic University of Aguascalientes, Aguascalientes, Mexico Advanced Remanufacturing and Technology Centre, Agency for Science, Technology and Research, Singapore, Singapore Academic Secretariat, Polytechnic University of Aguascalientes, Aguascalientes, Mexico Advanced Remanufacturing and Technology Centre, Agency for Science, Technology and Research, Singapore, SingaporeThis article presents an implementation of an adaptive control architecture, which provides the combined advantages of better dynamic performance compared to other conventional industrial controllers, and the use of widely available hardware in process industry. Adaptive control architecture uses proportional–integral action and dynamic computation of the controller’s gains (self-tuning regulator), to maintain performance specifications, even in the presence of parametric disturbances. This architecture offers advantages over other advanced embedded control systems implemented on industrial programmable logic controllers and other hardware platforms. Implementation of controllers on industrial hardware platforms is possible through the Object Linking and Embedding (OLE) for process control communication standard. The implementation for an adaptive controller here proposed was evaluated through experiments using first-order and overdamped second-order systems emulated by hardware-in-the-loop, with a programmable automation controller. Performance of the adaptive controllers was compared to that of conventional proportional–integral controllers, and effectiveness of the former over the latter was demonstrated through the experiments carried out.https://doi.org/10.1177/1729881417728467 |
| spellingShingle | Marco A Paz Tania A Ramirez-delReal Suselle C Garibo Dejanira Araiza-Illan Carlos A DeLuna-Ortega Marving O Aguilar-Justo Adaptive proportional–integral controller using OLE for process control for industrial applications International Journal of Advanced Robotic Systems |
| title | Adaptive proportional–integral controller using OLE for process control for industrial applications |
| title_full | Adaptive proportional–integral controller using OLE for process control for industrial applications |
| title_fullStr | Adaptive proportional–integral controller using OLE for process control for industrial applications |
| title_full_unstemmed | Adaptive proportional–integral controller using OLE for process control for industrial applications |
| title_short | Adaptive proportional–integral controller using OLE for process control for industrial applications |
| title_sort | adaptive proportional integral controller using ole for process control for industrial applications |
| url | https://doi.org/10.1177/1729881417728467 |
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