Cooperative Control of Aircraft Ground Deicing Resources
Aimed at the problem of weak coordination and low balance of distributed resources under multiple parallel deicing tasks, a cooperative control method of aircraft ground deicing resources based on multi-agent negotiation was proposed, which combined airport deicing resource allocation and space-time...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Shanghai Jiao Tong University
2021-11-01
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| Series: | Shanghai Jiaotong Daxue xuebao |
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| Online Access: | http://xuebao.sjtu.edu.cn/article/2021/1006-2467/1006-2467-55-11-1362.shtml |
| _version_ | 1818841827317383168 |
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| author | LI Biao, WANG Liwen, XING Zhiwei, WANG Sibo, LUO Qian |
| author_facet | LI Biao, WANG Liwen, XING Zhiwei, WANG Sibo, LUO Qian |
| author_sort | LI Biao, WANG Liwen, XING Zhiwei, WANG Sibo, LUO Qian |
| collection | DOAJ |
| description | Aimed at the problem of weak coordination and low balance of distributed resources under multiple parallel deicing tasks, a cooperative control method of aircraft ground deicing resources based on multi-agent negotiation was proposed, which combined airport deicing resource allocation and space-time distribution. A framework for collaborative operation of multi-agent deicing resources was established, and a resource optimization method for the bidding mechanism of a global collaborative consortium was designed to improve the overall task balance. Based on the operating plan, an autonomous multi-agent resource collaborative optimization model was constructed. The model predictive control method was applied to generate a collaborative control strategy, and the feasibility was verified in actual scenarios. The results demonstrate that the resource coordination and anti-interference ability of the proposed method are significantly enhanced while meeting the real-time requirements. Compared with the results obtained by other methods, the average takeoff tolerance is 4.89 min, increased by 1.015 min, and the average utilization rate is increased by 15.28%, which can ensure the safety and synergy of deicing resources. |
| first_indexed | 2024-12-19T04:32:16Z |
| format | Article |
| id | doaj.art-1563c50d297e44e69db0d0714d7b333f |
| institution | Directory Open Access Journal |
| issn | 1006-2467 |
| language | zho |
| last_indexed | 2024-12-19T04:32:16Z |
| publishDate | 2021-11-01 |
| publisher | Editorial Office of Journal of Shanghai Jiao Tong University |
| record_format | Article |
| series | Shanghai Jiaotong Daxue xuebao |
| spelling | doaj.art-1563c50d297e44e69db0d0714d7b333f2022-12-21T20:35:50ZzhoEditorial Office of Journal of Shanghai Jiao Tong UniversityShanghai Jiaotong Daxue xuebao1006-24672021-11-0155111362137010.16183/j.cnki.jsjtu.2020.342Cooperative Control of Aircraft Ground Deicing ResourcesLI Biao, WANG Liwen, XING Zhiwei, WANG Sibo, LUO Qian01. College of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300, China;2. College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China;3. Engineering Technology Research Center, The Second Research Institute of Civil Aviation Administration of China, Chengdu 610041, ChinaAimed at the problem of weak coordination and low balance of distributed resources under multiple parallel deicing tasks, a cooperative control method of aircraft ground deicing resources based on multi-agent negotiation was proposed, which combined airport deicing resource allocation and space-time distribution. A framework for collaborative operation of multi-agent deicing resources was established, and a resource optimization method for the bidding mechanism of a global collaborative consortium was designed to improve the overall task balance. Based on the operating plan, an autonomous multi-agent resource collaborative optimization model was constructed. The model predictive control method was applied to generate a collaborative control strategy, and the feasibility was verified in actual scenarios. The results demonstrate that the resource coordination and anti-interference ability of the proposed method are significantly enhanced while meeting the real-time requirements. Compared with the results obtained by other methods, the average takeoff tolerance is 4.89 min, increased by 1.015 min, and the average utilization rate is increased by 15.28%, which can ensure the safety and synergy of deicing resources.http://xuebao.sjtu.edu.cn/article/2021/1006-2467/1006-2467-55-11-1362.shtmlair transportationcollaborative controlmulti-agent negotiationmodel predictive controlground deicing resources |
| spellingShingle | LI Biao, WANG Liwen, XING Zhiwei, WANG Sibo, LUO Qian Cooperative Control of Aircraft Ground Deicing Resources Shanghai Jiaotong Daxue xuebao air transportation collaborative control multi-agent negotiation model predictive control ground deicing resources |
| title | Cooperative Control of Aircraft Ground Deicing Resources |
| title_full | Cooperative Control of Aircraft Ground Deicing Resources |
| title_fullStr | Cooperative Control of Aircraft Ground Deicing Resources |
| title_full_unstemmed | Cooperative Control of Aircraft Ground Deicing Resources |
| title_short | Cooperative Control of Aircraft Ground Deicing Resources |
| title_sort | cooperative control of aircraft ground deicing resources |
| topic | air transportation collaborative control multi-agent negotiation model predictive control ground deicing resources |
| url | http://xuebao.sjtu.edu.cn/article/2021/1006-2467/1006-2467-55-11-1362.shtml |
| work_keys_str_mv | AT libiaowangliwenxingzhiweiwangsiboluoqian cooperativecontrolofaircraftgrounddeicingresources |