Study Of EOSID Path Planning Based On SRTM

In high elevation and complex terrain airports,designing an Engine-Out Standard Instrument Departure(EOSID)flight procedure can effectively ensure flight safety and reduce aircraft take-off and load.In recent years,with the popularity of PBN procedures and the popularization of public RNP AR procedures,the flexibility of EOSID design has been greatly enhanced,and the role of emergency procedures has become increasingly significant.The design of EOSID must fully take into account the actual flight performance of the aircraft.During the design process,it is necessary to repeatedly perform performance calculations and path corrections.Therefore,the preliminary route selection of emergency procedures directly determines the workload of flight performance verification,and also determines the design effect of emergency procedures.In order to reduce the workload of EOSID design,from the perspective of flight procedure design,combined with UAV path planning technology,to study the path planning of EOSID,and puts forward a path planning method based on the hybrid bee colony algorithm(HABC)and SRTM data,in order to provide reliable ideas for the designers in pre selecting the flight path.First,pre-process SRTM data using map processing software,build a terrain search terrain model in matlab,and generate contour topographic maps to perform map operations in AutoCAD for flight performance calculations;Secondly,for artificial bee colonies The shortcomings of the algorithm are studied and improved,and an improved hybrid bee colony algorithm is proposed,and its superiority is verified with a test function.Then,the path generation model is established,and the initial three-dimensional path is obtained by interpolating the start and end points and navigation points of the path planning twice.After the height is adjusted to meet the obstacle clearance,the planned path is obtained.The evaluation function constructed by constraints and optimization objectives is used to evaluate the planned path,and the hybrid bee colony algorithm is used to optimize the path solution.Finally,select an airport for takeoff performance analysis,obtain the necessary data for path planning,and then conduct a path search.Compare the search path with the current EOSID path.The experimental results show that the path trend is basically consistent with the current procedure path trend,which can provide reliable design ideas for designers.