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Study Of EOSID Path Planning Based On SRTM And Performance

Posted on:2019-06-03Degree:MasterType:Thesis
Country:ChinaCandidate:X M LiuFull Text:PDF
GTID:2322330545990951Subject:Carrier Engineering
Abstract/Summary:PDF Full Text Request
With the continuous development of aviation industry,the rise of the plateau a irport,high plateau airport and comprehensive operation of PBN all over the wor d,in view of the practical problems in operation of the air transport,airline operaa tors need to ensure that the plane took off in one failure,running in accordance wit h the rules and regulations to the margin of safety is disabled,often need to take of f on one side of the detailed analysis and specify the take-off arise failure emergenc y procedures.In order to figure out the path planning difficult to designed by man,while engine out standard instrument departure(EOSID)in complex airport.The paper attempt to put forward a method about full-automatic path planni ng based on flight performance and digital terrain.Firstly,the performance parameters of the aircraft are produced,including the take-off distance? the net track height and other performance parameters which calculated by perfo rmance software,starting from the end of the runway,under the limitation of digital terrain,the search can satisfy the flight path of the net flight pat h.Combining with the Dijkstra algorithm and the PRM algorithm has impro ved sampling methods,combined aircraft performance and terrain constraints,The effect of slope on climbing gradient is considered,search the path for multiple constrains.In this paper,the loading of digital terrain,the planning of fre e space,the expansion of track and the construction of probability map are describe d in detail.Finally,taking Lhasa airport as an example,carries on the analys is and comparing with the existing EOSID,the simulate results show that th e method can fast effective automatic EOSID path planning needs.
Keywords/Search Tags:EOSID, Path planning, Flight performance, Improved PRM algorithm, Dijkstra algorithm
PDF Full Text Request
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