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Collaboration Strategy Based on Conflict Resolution for Flatness Actuator Group
During the flatness control process, there are frequently some uncoordinated regulating behaviors in the flatness actuator group. This has a bad influence on the flatness control accuracy and the flatness control efficiency. Therefore, a collaboration strategy based on conflict resolution for the fl...
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Published in: | Mathematical problems in engineering 2021-04, Vol.2021, p.1-17 |
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container_title | Mathematical problems in engineering |
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creator | Yan, Zhu-Wen Wang, Bao-Sheng Bu, He-Nan Pan, Long Hong, Lei Zhang, Dian-Hua Wang, Hong-Yu Lv, Dong-Sheng |
description | During the flatness control process, there are frequently some uncoordinated regulating behaviors in the flatness actuator group. This has a bad influence on the flatness control accuracy and the flatness control efficiency. Therefore, a collaboration strategy based on conflict resolution for the flatness actuator group has been proposed in this paper. First of all, the feature of flatness measurement value is extracted through establishing the actual flatness condition discriminating factor. After that, the coordination cooperation that is appropriate to the actual flatness condition is developed for the flatness actuator group. Finally, the optimal adjustment of the actuator population is solved by the coordinated algorithm of Topkis-Veinott and genetic algorithm collaborative optimization. The collaboration strategy proposed in this paper has been successfully applied to a flatness control system of a 1450 mm five-stand cold rolling mill. |
doi_str_mv | 10.1155/2021/9827504 |
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This has a bad influence on the flatness control accuracy and the flatness control efficiency. Therefore, a collaboration strategy based on conflict resolution for the flatness actuator group has been proposed in this paper. First of all, the feature of flatness measurement value is extracted through establishing the actual flatness condition discriminating factor. After that, the coordination cooperation that is appropriate to the actual flatness condition is developed for the flatness actuator group. Finally, the optimal adjustment of the actuator population is solved by the coordinated algorithm of Topkis-Veinott and genetic algorithm collaborative optimization. The collaboration strategy proposed in this paper has been successfully applied to a flatness control system of a 1450 mm five-stand cold rolling mill.</description><identifier>ISSN: 1024-123X</identifier><identifier>EISSN: 1563-5147</identifier><identifier>DOI: 10.1155/2021/9827504</identifier><language>eng</language><publisher>New York: Hindawi</publisher><subject>Actuators ; Cold rolling mills ; Collaboration ; Conflict resolution ; Control algorithms ; Efficiency ; Engineering ; Feature extraction ; Flatness ; Genetic algorithms ; Mean square errors ; Optimization ; Rolling mills ; Strategy</subject><ispartof>Mathematical problems in engineering, 2021-04, Vol.2021, p.1-17</ispartof><rights>Copyright © 2021 Zhu-Wen Yan et al.</rights><rights>Copyright © 2021 Zhu-Wen Yan et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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subjects | Actuators Cold rolling mills Collaboration Conflict resolution Control algorithms Efficiency Engineering Feature extraction Flatness Genetic algorithms Mean square errors Optimization Rolling mills Strategy |
title | Collaboration Strategy Based on Conflict Resolution for Flatness Actuator Group |
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