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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Autor principal:	LI Biao, WANG Liwen, XING Zhiwei, WANG Sibo, LUO Qian
Formato:	article
Lenguaje:	ZH
Publicado:	Editorial Office of Journal of Shanghai Jiao Tong University 2021
Materias:	air transportation collaborative control multi-agent negotiation model predictive control ground deicing resources Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Naval architecture. Shipbuilding. Marine engineering VM1-989
Acceso en línea:	https://doaj.org/article/1563c50d297e44e69db0d0714d7b333f
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id	oai:doaj.org-article:1563c50d297e44e69db0d0714d7b333f
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spelling	oai:doaj.org-article:1563c50d297e44e69db0d0714d7b333f2021-12-03T02:59:23ZCooperative Control of Aircraft Ground Deicing Resources1006-246710.16183/j.cnki.jsjtu.2020.342https://doaj.org/article/1563c50d297e44e69db0d0714d7b333f2021-11-01T00:00:00Zhttp://xuebao.sjtu.edu.cn/article/2021/1006-2467/1006-2467-55-11-1362.shtmlhttps://doaj.org/toc/1006-2467Aimed 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.LI Biao, WANG Liwen, XING Zhiwei, WANG Sibo, LUO QianEditorial Office of Journal of Shanghai Jiao Tong Universityarticleair transportationcollaborative controlmulti-agent negotiationmodel predictive controlground deicing resourcesEngineering (General). Civil engineering (General)TA1-2040Chemical engineeringTP155-156Naval architecture. Shipbuilding. Marine engineeringVM1-989ZHShanghai Jiaotong Daxue xuebao, Vol 55, Iss 11, Pp 1362-1370 (2021)
institution	DOAJ
collection	DOAJ
language	ZH
topic	air transportation collaborative control multi-agent negotiation model predictive control ground deicing resources Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Naval architecture. Shipbuilding. Marine engineering VM1-989
spellingShingle	air transportation collaborative control multi-agent negotiation model predictive control ground deicing resources Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Naval architecture. Shipbuilding. Marine engineering VM1-989 LI Biao, WANG Liwen, XING Zhiwei, WANG Sibo, LUO Qian Cooperative Control of Aircraft Ground Deicing Resources
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.
format	article
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
title	Cooperative Control of Aircraft Ground Deicing Resources
title_short	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_sort	cooperative control of aircraft ground deicing resources
publisher	Editorial Office of Journal of Shanghai Jiao Tong University
publishDate	2021
url	https://doaj.org/article/1563c50d297e44e69db0d0714d7b333f
work_keys_str_mv	AT libiaowangliwenxingzhiweiwangsiboluoqian cooperativecontrolofaircraftgrounddeicingresources
_version_	1718373915005288448

Cooperative Control of Aircraft Ground Deicing Resources

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