Comparison of Predictive Control Methods for High Consumption Industrial Furnace
We describe several predictive control approaches for high consumption industrial furnace control. These furnaces are major consumers in production industries, and reducing their fuel consumption and optimizing the quality of the products is one of the most important engineer tasks. In order to demo...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2013/279042 |
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| _version_ | 1832567813175246848 |
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| author | Goran Stojanovski Mile Stankovski |
| author_facet | Goran Stojanovski Mile Stankovski |
| author_sort | Goran Stojanovski |
| collection | DOAJ |
| description | We describe several predictive control approaches for high consumption industrial furnace control. These furnaces are major consumers in production industries, and reducing their fuel consumption and optimizing the quality of the products is one of the most important engineer tasks. In order to demonstrate the benefits from implementation of the advanced predictive control algorithms, we have compared several major criteria for furnace control. On the basis of the analysis, some important conclusions have been drawn. |
| format | Article |
| id | doaj-art-9dbcdc9921474816add657ead31ece81 |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-9dbcdc9921474816add657ead31ece812025-02-03T01:00:25ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/279042279042Comparison of Predictive Control Methods for High Consumption Industrial FurnaceGoran Stojanovski0Mile Stankovski1Department of Automation and System Engineering, Faculty of Electrical Engineering and Information Technologies, Saints Cyril and Methodius University in Skopje, ul. Ruger Boskovic bb., 1000 Skopje, MacedoniaDepartment of Automation and System Engineering, Faculty of Electrical Engineering and Information Technologies, Saints Cyril and Methodius University in Skopje, ul. Ruger Boskovic bb., 1000 Skopje, MacedoniaWe describe several predictive control approaches for high consumption industrial furnace control. These furnaces are major consumers in production industries, and reducing their fuel consumption and optimizing the quality of the products is one of the most important engineer tasks. In order to demonstrate the benefits from implementation of the advanced predictive control algorithms, we have compared several major criteria for furnace control. On the basis of the analysis, some important conclusions have been drawn.http://dx.doi.org/10.1155/2013/279042 |
| spellingShingle | Goran Stojanovski Mile Stankovski Comparison of Predictive Control Methods for High Consumption Industrial Furnace The Scientific World Journal |
| title | Comparison of Predictive Control Methods for High Consumption Industrial Furnace |
| title_full | Comparison of Predictive Control Methods for High Consumption Industrial Furnace |
| title_fullStr | Comparison of Predictive Control Methods for High Consumption Industrial Furnace |
| title_full_unstemmed | Comparison of Predictive Control Methods for High Consumption Industrial Furnace |
| title_short | Comparison of Predictive Control Methods for High Consumption Industrial Furnace |
| title_sort | comparison of predictive control methods for high consumption industrial furnace |
| url | http://dx.doi.org/10.1155/2013/279042 |
| work_keys_str_mv | AT goranstojanovski comparisonofpredictivecontrolmethodsforhighconsumptionindustrialfurnace AT milestankovski comparisonofpredictivecontrolmethodsforhighconsumptionindustrialfurnace |