Cooperative Control of Aircraft Ground Deicing Resources

Abstract

Abstract:

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.

Key words:air transportation,collaborative control,multi-Agent negotiation,model predictive control,ground deicing resources

CLC Number:

V351.392
U8

LI Biao, WANG Liwen, XING Zhiwei, WANG Sibo, LUO Qian. Cooperative Control of Aircraft Ground Deicing Resources[J]. Journal of Shanghai Jiao Tong University, 2021, 55(11): 1362-1370.

Figures/Tables16

Fig.1

Fig.2

Fig.3

Fig.4

Fig.5

除冰坪编号	除冰机位数量/个	兼容除冰机位/个	除冰车量编队数/个
1	4	2	4
2	6	3	6
3	5	3	5
4	3	3	6
5	6	3	9
6	4	3	5
7	4	3	5

Tab.1

Fig.6

除冰坪编号	保障能力	综合补液能力	平均正点率	综合得分
1	74.688	90.053	83.333	82.691
2	81.429	86.010	85.714	84.384
3	78.889	80.230	87.143	82.087
4	57.708	88.820	86.667	77.732

Tab.2

Fig.7

除冰坪	单独除冰任务	联合体除冰任务	联合编队
S₁	M₄,M₆,M₁₁,M₁₅, M₂₀,M₃₀,M₃₉, M₄₉,M₅₄	M₂₁,M₃₂, M₄₀,M₅₁	V₅
S₂	M₁,M₅,M₈,M₁₀,M₁₃, M₁₆,M₂₆,M₃₁,M₃₅, M₄₂,M₄₄,M₅₅	M₁₉,M₂₉,M₃₆, M₃₈,M₄₈,M₅₃	V₅
S₃	M₂,M₇,M₉,M₁₂,M₁₄, M₂₂,M₃₃,M₃₄,M₄₁, M₄₃,M₄₇,M₅₂	M₁₈,M₂₈,M₃₇	V₆
S₄	M₃,M₁₇,M₂₃,M₂₄, M₄₅,M₄₆,M₅₀	M₂₅,M₂₇	V₇

Tab.3

Fig.8

Fig.9

Fig.10

Fig.11

Tab.4

Comparison results of simulation optimization para-meters

除冰坪		S₁	S₂	S₃	S₄
r_t	I	9.24	11.51	9.46	11.57
	II	9.87	12.27	10.80	12.86
	III	10.22	12.74	10.14	11.04
$e -$	I	0.609	0.660	0.666	0.712
	II	0.571	0.613	0.457	0.608
	III	0.404	0.557	0.388	0.321

Tab.4

Fig.12

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除冰坪编号	除冰机位数量/个	兼容除冰机位/个	除冰车量编队数/个
1	4	2	4
2	6	3	6
3	5	3	5
4	3	3	6
5	6	3	9
6	4	3	5
7	4	3	5