A Trajectory Planning Method Introducing Pilot Intention

Abstract

The invention discloses a method for programming flight paths with introduced intention of pilots. The method includes initializing setting of environmental standard parameters; acquiring data; representing maps; detecting data of constraint conditions, and to be more specific, detecting variable numbers required by mixed-integer linear programming according to objective functions and constraint data; programming the flight paths by the aid of algorithms for autonomously programming the flight paths on the basis of the constraint conditions if the variable numbers are smaller than or equal to 500; programming the flight paths by the aid of algorithms for programming the flight paths on the basis of the constraint conditions and the intention of the pilots if the variable numbers are larger than 500. The method has the advantages that the intention of the pilots is converted into restrictive conditions in the optimal control algorithms, accordingly, ideas of the pilots can be embodied by the algorithms for autonomously programming the flight paths, and the problem that intention of pilots is ignored in the traditional method for programming flight paths can be solved; the optimal control programs can be solved by the aid of approaches for combining receding horizon with the mixed-integer programming, and accordingly the problem of excessive increase of computational complexity due to addition of intention of the pilots can be solved.

Description

technical field [0001] The invention relates to a flight path planning method, in particular to a flight path planning method that introduces the pilot's intention, and belongs to the technical field of air traffic control. Background technique [0002] Compared with the pre-defined and fixed flight routes of commercial aviation, general aviation often flies freely under low-altitude conditions (free flight), and its pilots can independently choose the route, altitude and speed. In this case, research on how to alleviate the impact of the complexity of external conditions such as weather, environment, terrain, and landform on general aviation safety issues has always been a concern in air traffic control research. For this purpose, autonomous navigation methods must be used, such as: Autonomous path planning, collision detection, risk assessment, and decision-making to assist aircraft. Autonomous path planning uses the information obtained by the aircraft sensors to detect ...

AI Technical Summary

Problems solved by technology

For example: in order to avoid obstacles, it is necessary to calculate the boundary conditions of obstacles, and the complex shape of obstacles will inevitably lead to an increase in the amount of calculation

In addition, the modeling of complex meteorological conditions requires the use of modern signal processing methods such as probability and fuzzy, resulting in a large amount of data required

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