Multiobjective control structure design: A branch and bound approach
Control structure design traditionally involves two steps of selections, namely the selection of controlled and manipulated variables and the selection of pairings interconnecting these variables. The available criteria for both selections require enumeration of every alternative. Hence, an exhausti...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
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2013
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| Online Access: | https://hdl.handle.net/10356/101004 http://hdl.handle.net/10220/16754 |
| _version_ | 1826127697029365760 |
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| author | Cao, Yi Kariwala, Vinay |
| author2 | School of Chemical and Biomedical Engineering |
| author_facet | School of Chemical and Biomedical Engineering Cao, Yi Kariwala, Vinay |
| author_sort | Cao, Yi |
| collection | NTU |
| description | Control structure design traditionally involves two steps of selections, namely the selection of controlled and manipulated variables and the selection of pairings interconnecting these variables. The available criteria for both selections require enumeration of every alternative. Hence, an exhaustive search can be computationally forbidding for large-scale processes. On the other hand, owing to the computational complexity, variables and pairings are often selected sequentially, which may result in suboptimal control structures. In this paper, an efficient branch and bound (BAB) method is proposed to select the variables and pairings together in a multiobjective optimization framework. As an illustration of the proposed multiobjective BAB framework, the minimum singular value rule and the μ-interaction measure are used as the criteria for selection of controlled variables and pairings, respectively. Numerical tests using randomly generated matrices and the large-scale case study of hydrodealkylation of toluene (HDA) process show that the BAB method is able to reduce the solution time by several orders of magnitude in comparison with exhaustive search. |
| first_indexed | 2024-10-01T07:12:46Z |
| format | Journal Article |
| id | ntu-10356/101004 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:12:46Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/1010042020-03-07T11:40:21Z Multiobjective control structure design: A branch and bound approach Cao, Yi Kariwala, Vinay School of Chemical and Biomedical Engineering DRNTU::Engineering::Chemical engineering Control structure design traditionally involves two steps of selections, namely the selection of controlled and manipulated variables and the selection of pairings interconnecting these variables. The available criteria for both selections require enumeration of every alternative. Hence, an exhaustive search can be computationally forbidding for large-scale processes. On the other hand, owing to the computational complexity, variables and pairings are often selected sequentially, which may result in suboptimal control structures. In this paper, an efficient branch and bound (BAB) method is proposed to select the variables and pairings together in a multiobjective optimization framework. As an illustration of the proposed multiobjective BAB framework, the minimum singular value rule and the μ-interaction measure are used as the criteria for selection of controlled variables and pairings, respectively. Numerical tests using randomly generated matrices and the large-scale case study of hydrodealkylation of toluene (HDA) process show that the BAB method is able to reduce the solution time by several orders of magnitude in comparison with exhaustive search. 2013-10-23T08:49:17Z 2019-12-06T20:31:55Z 2013-10-23T08:49:17Z 2019-12-06T20:31:55Z 2012 2012 Journal Article Kariwala, V., & Cao, Y. (2012). Multiobjective control structure design: A branch and bound approach. Industrial & engineering chemistry research, 51(17), 6064-6070. 0888-5885 https://hdl.handle.net/10356/101004 http://hdl.handle.net/10220/16754 10.1021/ie201510c en Industrial & engineering chemistry research |
| spellingShingle | DRNTU::Engineering::Chemical engineering Cao, Yi Kariwala, Vinay Multiobjective control structure design: A branch and bound approach |
| title | Multiobjective control structure design: A branch and bound approach |
| title_full | Multiobjective control structure design: A branch and bound approach |
| title_fullStr | Multiobjective control structure design: A branch and bound approach |
| title_full_unstemmed | Multiobjective control structure design: A branch and bound approach |
| title_short | Multiobjective control structure design: A branch and bound approach |
| title_sort | multiobjective control structure design a branch and bound approach |
| topic | DRNTU::Engineering::Chemical engineering |
| url | https://hdl.handle.net/10356/101004 http://hdl.handle.net/10220/16754 |
| work_keys_str_mv | AT caoyi multiobjectivecontrolstructuredesignabranchandboundapproach AT kariwalavinay multiobjectivecontrolstructuredesignabranchandboundapproach |