Research on the optimisation of the temperature field distribution of a multi microwave source agent system based on group consistency
Aiming at the problem of optimising the temperature field distribution of a multi microwave source agent system, in this work, group consistency is used to explore the multi microwave source agent collaborative tracking strategy to improve both the uniformity of the temperature distribution and the...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2022-12-01
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| Series: | High Temperature Materials and Processes |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/htmp-2022-0250 |
| _version_ | 1797947658607788032 |
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| author | Yang Biao Wu Zhaogang Gao Hao Zhou Liexing Sun Jun |
| author_facet | Yang Biao Wu Zhaogang Gao Hao Zhou Liexing Sun Jun |
| author_sort | Yang Biao |
| collection | DOAJ |
| description | Aiming at the problem of optimising the temperature field distribution of a multi microwave source agent system, in this work, group consistency is used to explore the multi microwave source agent collaborative tracking strategy to improve both the uniformity of the temperature distribution and the heating efficiency. First, to coordinate the inputting power state information of the multi microwave source agents, a consistency algorithm of non-fully connected communication topology is adopted. Second, according to the efficiency state information of the microwave source agents in different distribution positions of the cavity, the agent group consistency strategy and the group consistency strategy with expected power deviation are used to adjust the power distribution of each agent. Finally, the feasibility and effectiveness of the proposed strategy are verified by using heating materials with different specifications. The experimental results show that compared with the traditional multisource heating method the proposed temperature distribution optimization strategy based on group consistency can improve the temperature uniformity and heating efficiency. |
| first_indexed | 2024-04-10T21:31:18Z |
| format | Article |
| id | doaj.art-173a43f4381b4ecba1d4d549e8acbea1 |
| institution | Directory Open Access Journal |
| issn | 2191-0324 |
| language | English |
| last_indexed | 2024-04-10T21:31:18Z |
| publishDate | 2022-12-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | High Temperature Materials and Processes |
| spelling | doaj.art-173a43f4381b4ecba1d4d549e8acbea12023-01-19T13:20:31ZengDe GruyterHigh Temperature Materials and Processes2191-03242022-12-0141165066810.1515/htmp-2022-0250Research on the optimisation of the temperature field distribution of a multi microwave source agent system based on group consistencyYang Biao0Wu Zhaogang1Gao Hao2Zhou Liexing3Sun Jun4Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650500, ChinaFaculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650500, ChinaFaculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650500, ChinaFaculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650500, ChinaFaculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650500, ChinaAiming at the problem of optimising the temperature field distribution of a multi microwave source agent system, in this work, group consistency is used to explore the multi microwave source agent collaborative tracking strategy to improve both the uniformity of the temperature distribution and the heating efficiency. First, to coordinate the inputting power state information of the multi microwave source agents, a consistency algorithm of non-fully connected communication topology is adopted. Second, according to the efficiency state information of the microwave source agents in different distribution positions of the cavity, the agent group consistency strategy and the group consistency strategy with expected power deviation are used to adjust the power distribution of each agent. Finally, the feasibility and effectiveness of the proposed strategy are verified by using heating materials with different specifications. The experimental results show that compared with the traditional multisource heating method the proposed temperature distribution optimization strategy based on group consistency can improve the temperature uniformity and heating efficiency.https://doi.org/10.1515/htmp-2022-0250multi microwave source agentexpected state deviationagent groupgroup consistencycollaborative optimisation |
| spellingShingle | Yang Biao Wu Zhaogang Gao Hao Zhou Liexing Sun Jun Research on the optimisation of the temperature field distribution of a multi microwave source agent system based on group consistency High Temperature Materials and Processes multi microwave source agent expected state deviation agent group group consistency collaborative optimisation |
| title | Research on the optimisation of the temperature field distribution of a multi microwave source agent system based on group consistency |
| title_full | Research on the optimisation of the temperature field distribution of a multi microwave source agent system based on group consistency |
| title_fullStr | Research on the optimisation of the temperature field distribution of a multi microwave source agent system based on group consistency |
| title_full_unstemmed | Research on the optimisation of the temperature field distribution of a multi microwave source agent system based on group consistency |
| title_short | Research on the optimisation of the temperature field distribution of a multi microwave source agent system based on group consistency |
| title_sort | research on the optimisation of the temperature field distribution of a multi microwave source agent system based on group consistency |
| topic | multi microwave source agent expected state deviation agent group group consistency collaborative optimisation |
| url | https://doi.org/10.1515/htmp-2022-0250 |
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