引用本文: | 张亚平,廉冠,邢志伟,罗晓,罗谦,莫琼.飞机推出控制停机位等待惩罚策略[J].哈尔滨工业大学学报,2018,50(3):39.DOI:10.11918/j.issn.0367-6234.201703143 |
| ZHANG Yaping,LIAN Guan,XING Zhiwei,LUO Xiao,LUO Qian,MO Qiong.Aircraft departure pushback control strategy based on gate-hold penalty[J].Journal of Harbin Institute of Technology,2018,50(3):39.DOI:10.11918/j.issn.0367-6234.201703143 |
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飞机推出控制停机位等待惩罚策略 |
张亚平1,廉冠1,邢志伟2,罗晓3,罗谦3,莫琼1
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(1.哈尔滨工业大学 交通科学与工程学院,哈尔滨 150090;2.中国民航大学 航空地面特种设备基地,天津 300300; 3.中国民用航空局第二研究所,成都 610041)
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摘要: |
为减少飞机离港过程中调度者的工作负担,降低滑行成本及污染排放,在飞机离港过程传统N控制策略基础上,提出一种基于停机位等待惩罚的推出控制策略.这种策略可以为滑行道排队长度搜寻最优阈值,并且要求推出频率随当前滑行道排队长度实时变化.建立以推出成本为目标的推出控制模型及其两种变体形式,设计了一种基于连续时间马尔科夫链的迭代优化算法.首都机场实际推出数据仿真结果表明:所提出的推出控制策略能有效地将滑行等待时间转化为停机位等待时间,总滑行等待时间减少了2 995 min/d,燃油消耗比无推出策略条件下减少44.04%,离港燃油成本大大降低.
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关键词: 航空运输 推出控制策略 马尔科夫优化 滑行过程 惩罚 燃油成本 |
DOI:10.11918/j.issn.0367-6234.201703143 |
分类号:U8 |
文献标识码:A |
基金项目:国家自然科学基金民航联合基金(U1233124,U1533203) |
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Aircraft departure pushback control strategy based on gate-hold penalty |
ZHANG Yaping1,LIAN Guan1,XING Zhiwei2,LUO Xiao3,LUO Qian3,MO Qiong1
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(1. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China; 2. Ground Support Equipment Research Base, Civil Aviation University of China, Tianjin 300300,China; 3. The Second Research Institute of CAAC, Chengdu 610041, China)
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Abstract: |
To reduce the workload of air traffic operators in airport surface operation, curtail the cost of taxi-out and the pollutant emission, a new gate-hold penalty-based departure pushback control strategy was proposed based on the traditional N-control strategy. The algorithm could search the optimal threshold for taxiway queuing system, and require the pushback rate changes with the real-time taxiway queue length. Taken the pushback operational cost as objective function, the control strategy model and its two various forms were carried out, and an iterative Markov chain-based optimization algorithm was developed to solve the model. Simulation results with PEK airport data indicate that the proposed pushback strategy could transfer taxiway waiting time into gate-hold time to minimize the total operational cost. The strategy could save 2 995 minutes per day on total taxi-out time and 44.04% fuel burn cost than situation of without pushback strategies, also reduce departure operational cost effectively.
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Key words: air transportation pushback control strategy Markov optimization taxi-out process penalty fuel burn cost |