Experimental Application of Predictive Controllers
Model predictive control (MPC) has been used successfully in industry. The basic characteristic of these algorithms is the formulation of an optimization problem in order to compute the sequence of control moves that minimize a performance function on the time horizon with the best information avai...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
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| Series: | Journal of Control Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2012/159072 |
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| _version_ | 1849693923614654464 |
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| author | C. H. F. Silva H. M. Henrique L. C. Oliveira-Lopes |
| author_facet | C. H. F. Silva H. M. Henrique L. C. Oliveira-Lopes |
| author_sort | C. H. F. Silva |
| collection | DOAJ |
| description | Model predictive control (MPC) has been used successfully in industry. The basic characteristic of these algorithms is the formulation of an optimization problem in order to compute the sequence of control moves that minimize a performance function on the time horizon with the best information available at each instant, taking into account operation and plant model constraints. The classical algorithms Infinite Horizon Model Predictive Control (IHMPC) and Model Predictive Control with Reference System (RSMPC) were used for the experimental application in the multivariable control of the pilot plant (level and pH). The simulations and experimental results indicate the applicability and limitation of the control technique. |
| format | Article |
| id | doaj-art-4b8d1b60dfc94c7c84db8ecf3162fba5 |
| institution | DOAJ |
| issn | 1687-5249 1687-5257 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Control Science and Engineering |
| spelling | doaj-art-4b8d1b60dfc94c7c84db8ecf3162fba52025-08-20T03:20:14ZengWileyJournal of Control Science and Engineering1687-52491687-52572012-01-01201210.1155/2012/159072159072Experimental Application of Predictive ControllersC. H. F. Silva0H. M. Henrique1L. C. Oliveira-Lopes2Cemig Geração e Transmissão SA, Avenida Barbacena 1200, 16ø Andar Ala B1 (TE/AE), 30190-131 Belo Horizonte, MG, BrazilFaculdade de Engenharia Química, Universidade Federal de Uberlândia, Avenida João Naves de µvila, 2121, Bloco 1K do Campus Santa Mônica 38408-100 Uberlândia, MG, BrazilFaculdade de Engenharia Química, Universidade Federal de Uberlândia, Avenida João Naves de µvila, 2121, Bloco 1K do Campus Santa Mônica 38408-100 Uberlândia, MG, BrazilModel predictive control (MPC) has been used successfully in industry. The basic characteristic of these algorithms is the formulation of an optimization problem in order to compute the sequence of control moves that minimize a performance function on the time horizon with the best information available at each instant, taking into account operation and plant model constraints. The classical algorithms Infinite Horizon Model Predictive Control (IHMPC) and Model Predictive Control with Reference System (RSMPC) were used for the experimental application in the multivariable control of the pilot plant (level and pH). The simulations and experimental results indicate the applicability and limitation of the control technique.http://dx.doi.org/10.1155/2012/159072 |
| spellingShingle | C. H. F. Silva H. M. Henrique L. C. Oliveira-Lopes Experimental Application of Predictive Controllers Journal of Control Science and Engineering |
| title | Experimental Application of Predictive Controllers |
| title_full | Experimental Application of Predictive Controllers |
| title_fullStr | Experimental Application of Predictive Controllers |
| title_full_unstemmed | Experimental Application of Predictive Controllers |
| title_short | Experimental Application of Predictive Controllers |
| title_sort | experimental application of predictive controllers |
| url | http://dx.doi.org/10.1155/2012/159072 |
| work_keys_str_mv | AT chfsilva experimentalapplicationofpredictivecontrollers AT hmhenrique experimentalapplicationofpredictivecontrollers AT lcoliveiralopes experimentalapplicationofpredictivecontrollers |