{"title":"基于最优轨迹点选择的动态CDA轨迹优化研究","authors":"Gong Feng-xun, Ma Yanqiu","doi":"10.1109/DASC.2018.8569843","DOIUrl":null,"url":null,"abstract":"The traditional continuous descent approach(CDA) trajectory is optimized only in the vertical direction. Therefore, the operation advantages of CDA have not been fully shown. The selection process of the position points of the optimal track can be divided into the three steps. The one is the terminal area discretizing. The second one is the selection model setting, and optimization algorithm model designed with the objective function value. The third one is waypoints selecting for the descent track and optimization track profiles. The limitation elements include turning angle, descending gradient and total carbon emission. In the simulation, firstly, the optimal track points are selected in the 3D cone waypoints set, according to the restrictions on the turning angle, descending gradient. Secondly, valid dynamic CDA trajectory is constructed, according to the spatial conic relationship between TOD points and the FAF points. Thirdly, the dynamic CDA trajectory is chosen through comparison and analysis of the waypoints restrictions, which has the minimum total CO and CO2 emissions. The simulation results with the typical airport terminal area are shown that the threefold selection method based on the turning angle, range sum and carbon emission can optimize the track profile from three aspects at same time, and the emission reduction of the dynamic CDA trajectory optimizing selected from the 3D grid waypoints set is better than the traditional CDA trajectory optimization.","PeriodicalId":405724,"journal":{"name":"2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on the Dynamic CDA track optimization based on the optimal trajectory points selection\",\"authors\":\"Gong Feng-xun, Ma Yanqiu\",\"doi\":\"10.1109/DASC.2018.8569843\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The traditional continuous descent approach(CDA) trajectory is optimized only in the vertical direction. Therefore, the operation advantages of CDA have not been fully shown. The selection process of the position points of the optimal track can be divided into the three steps. The one is the terminal area discretizing. The second one is the selection model setting, and optimization algorithm model designed with the objective function value. The third one is waypoints selecting for the descent track and optimization track profiles. The limitation elements include turning angle, descending gradient and total carbon emission. In the simulation, firstly, the optimal track points are selected in the 3D cone waypoints set, according to the restrictions on the turning angle, descending gradient. Secondly, valid dynamic CDA trajectory is constructed, according to the spatial conic relationship between TOD points and the FAF points. Thirdly, the dynamic CDA trajectory is chosen through comparison and analysis of the waypoints restrictions, which has the minimum total CO and CO2 emissions. The simulation results with the typical airport terminal area are shown that the threefold selection method based on the turning angle, range sum and carbon emission can optimize the track profile from three aspects at same time, and the emission reduction of the dynamic CDA trajectory optimizing selected from the 3D grid waypoints set is better than the traditional CDA trajectory optimization.\",\"PeriodicalId\":405724,\"journal\":{\"name\":\"2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DASC.2018.8569843\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DASC.2018.8569843","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on the Dynamic CDA track optimization based on the optimal trajectory points selection
The traditional continuous descent approach(CDA) trajectory is optimized only in the vertical direction. Therefore, the operation advantages of CDA have not been fully shown. The selection process of the position points of the optimal track can be divided into the three steps. The one is the terminal area discretizing. The second one is the selection model setting, and optimization algorithm model designed with the objective function value. The third one is waypoints selecting for the descent track and optimization track profiles. The limitation elements include turning angle, descending gradient and total carbon emission. In the simulation, firstly, the optimal track points are selected in the 3D cone waypoints set, according to the restrictions on the turning angle, descending gradient. Secondly, valid dynamic CDA trajectory is constructed, according to the spatial conic relationship between TOD points and the FAF points. Thirdly, the dynamic CDA trajectory is chosen through comparison and analysis of the waypoints restrictions, which has the minimum total CO and CO2 emissions. The simulation results with the typical airport terminal area are shown that the threefold selection method based on the turning angle, range sum and carbon emission can optimize the track profile from three aspects at same time, and the emission reduction of the dynamic CDA trajectory optimizing selected from the 3D grid waypoints set is better than the traditional CDA trajectory optimization.