| In recent years, energy problem is becoming more and more serious, the flight fuel-efficient trajectory optimization design of the air vehicle has been widely concerned. Concretely, in certain flight conditions, how to select the optimal flight states of the vehicle, to make a performance index reaches the best value. Therefore aircraft economic navigation has become a key consideration in route planning problems. With the development of information technology, the influence of time factors in the modern war aircraft usage is more and more outstanding. The simple 3D route planning has been unable to meet the mission requirements of aircrafts. Since the aircraft has the time control ability, as a nonnegligible factor, time has been paid attention by more and more people.Combined with the aircraft’s fuel consumption in actual flying, in order to decreasing fuel consumption to the minimum,the thesis makes a detail study on optimization method to optimize the aircraft flight trajectory. Through the analysis of different stages of aircraft fuel consumption, model respectively of economic navigation, economic route navigation and cruise and path re-planning, and optimiz the flight path. Based on the 3D route re-planning, 4D route navigation algorithm with time dimension into consideration is also increasingly important, and the thesis use the adaptive A star algorithm based on geometric constraints for path planning. The main contents are as follows:1. Describe several economic aircraft navigation model and main algorithms involved economic navigation in detail, including the maximum fuel mileage model, BINGAO model and energy state of alarm algorithm model,as well as analysing economic navigation route optimization algorithm detailedly. Lastly, make simulation analyses to the economic navigation algorithms involved, verifying the effectiveness of the improved algorithm.2. Then introduce A star algorithm and adaptive A star algorithm used in route re-planning module, and compare their advantages and disadvantages. Research and implement 4D route navigation algorithm based on the existing route planning algorithm. Firstly introduce flight path cost representation and adaptive A star algorithm based on geometric constraint. Then research improved method of time error. Lastly, through the simulation experiments verifying the effectiveness of the method.3. Design and realize vehicle economic navigation systems. Firstly introduce the overall design scheme and the main function of the system. Then describe the detailed design and interface display for each module. Lastly, give the simulation data of each module concretely. Through analyzing simulation results and error, verifying the practicability and effectiveness of the system. |