Practical Problems in Blast Furnace Identification
Recent work on the identification and control of steelworks blast furnaces is reviewed. The difficulties in obtaining experimental models are described; these include unmeasured variables, uneven cast interval, the very slow dynamics and the frequently non-stationary behaviour of the furnace. Factor...
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| Format: | Article |
| Language: | English |
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SAGE Publishing
1973-01-01
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| Series: | Measurement + Control |
| Online Access: | https://doi.org/10.1177/002029407300600103 |
| _version_ | 1818151512737579008 |
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| author | J P Norton |
| author_facet | J P Norton |
| author_sort | J P Norton |
| collection | DOAJ |
| description | Recent work on the identification and control of steelworks blast furnaces is reviewed. The difficulties in obtaining experimental models are described; these include unmeasured variables, uneven cast interval, the very slow dynamics and the frequently non-stationary behaviour of the furnace. Factors influencing the form of the model are discussed. It is concluded that empirical models will prove useful in tracking short-term variations in furnace behaviour. |
| first_indexed | 2024-12-11T13:40:01Z |
| format | Article |
| id | doaj.art-f6247c4feca94ab2bde4aeac8c8fc154 |
| institution | Directory Open Access Journal |
| issn | 0020-2940 |
| language | English |
| last_indexed | 2024-12-11T13:40:01Z |
| publishDate | 1973-01-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Measurement + Control |
| spelling | doaj.art-f6247c4feca94ab2bde4aeac8c8fc1542022-12-22T01:04:50ZengSAGE PublishingMeasurement + Control0020-29401973-01-01610.1177/002029407300600103Practical Problems in Blast Furnace IdentificationJ P Norton0 Senior Research Fellow, Control Engineering Division, Warren Spring Laboratory, Stevenage, Herts; now with Electrical Engineering Department, University of Tasmania, Hobart, Tasmania, AustraliaRecent work on the identification and control of steelworks blast furnaces is reviewed. The difficulties in obtaining experimental models are described; these include unmeasured variables, uneven cast interval, the very slow dynamics and the frequently non-stationary behaviour of the furnace. Factors influencing the form of the model are discussed. It is concluded that empirical models will prove useful in tracking short-term variations in furnace behaviour.https://doi.org/10.1177/002029407300600103 |
| spellingShingle | J P Norton Practical Problems in Blast Furnace Identification Measurement + Control |
| title | Practical Problems in Blast Furnace Identification |
| title_full | Practical Problems in Blast Furnace Identification |
| title_fullStr | Practical Problems in Blast Furnace Identification |
| title_full_unstemmed | Practical Problems in Blast Furnace Identification |
| title_short | Practical Problems in Blast Furnace Identification |
| title_sort | practical problems in blast furnace identification |
| url | https://doi.org/10.1177/002029407300600103 |
| work_keys_str_mv | AT jpnorton practicalproblemsinblastfurnaceidentification |