Research And Simulation Of Key Technologies In Economic Navigation

With the wide application of aircraft and increasingly serious energy issues,trajectory optimization algorithms have gradually become one of the research hotspots in the field of economic navigation.When the aircraft performs the actual mission,it needs to fly safely to the destination,and the time of the planned route needs to meet the requirements of the actual engineering application.However,the traditional path planning algorithm will increase the search area and the data information stored in the grid map.With exponential growth,the time required to search for routes will increase significantly and will not meet the real-time requirements of actual applications.Therefore,the path planning algorithm has become a new research hotspot.In order to effectively help the pilot complete the mission,when the aircraft is routed,it is necessary to consider the running time of the algorithm so that the planned path meets the real-time requirements of the actual application.Combining the fuel consumption of aircraft during actual flight,this thesis mainly studies the fuel consumption during the climb,cruise and descent phases during flight,optimizes the trajectory of the aircraft during the flight,and makes the fuel efficiency of the aircraft improve during actual flight.This thesis conducts in-depth research on key technologies in economic navigation.The main tasks and innovations are as follows: 1.In view of the fact that the running time of the traditional A-Star algorithm in the search path can not meet the real-time requirements of the actual application,the thesis first introduces the traditional A-Star algorithm in detail,and describes the grid map representation,node expansion and cost function.Then,the steps of the algorithm are described.Finally,the shortcomings of the traditional A-Star algorithm are analyzed based on actual applications,the algorithm is improved,an A-star algorithm based on probability map is proposed,and the effectiveness of the algorithm is further verified by simulation experiments.2.For the trajectory optimization of the common energy state method,only the local optimal trajectory exists,and in order to realize the function of the economic navigation subsystem in the economic navigation simulation system,this thesis first introduces the economic navigation algorithm models,and describe the economic navigation related algorithms.Then,in order to obtain the global optimal trajectory,a trajectory optimization based on multi-objective genetic algorithm is proposed,the method is to apply the NSGA-? algorithm to optimize the flight trajectory of aircraft.Finally,the energy state method and the NSGA-? algorithm are simulated and compared,and the feasibility of the NSGA-? algorithm is analyzed in practical applications.3.Design and implement economic navigation simulation system based on practical applications.The thesis introduces firstly the high-level architecture and operation supporting environment of the simulation system.Then,it elaborates the overall design of the system,describes in detail the structure,function,data interaction,data interface and logic level of the simulation system,and introduces the economic navigation subsystem and route re-planning subsystem of the simulation system.Finally,simulation tasks are taken into consideration in conjunction with actual missions in the HLA-based economic navigation simulation system,and the simulation results further validate the practicality of the NSGA-? algorithm.