Aircraft collaborative route planning method

Abstract

The invention discloses an aircraft collaborative route planning method. The method comprises the following steps: step 1, constructing a situation model; step 2, initializing parameters; step 3, calculating the cost of each initial airway according to the situation model; step 4, generating a new air route according to the initial air route information, and calculating the cost of the new air route; step 5, judging whether the cost of the new air route is smaller than that of the initial air route or not, if yes, executing the step 6, and if not, executing the step 8; step 6, replacing the new air route with the initial air route, and setting the abandoning frequency to be zero; step 7, other individuals in the population generate new routes, and the step 5 is executed; step 8, adding 1 to the abandoning frequency, judging whether the abandoning frequency is greater than the maximum abandoning frequency or not, if not, carrying out the step 4, and if yes, carrying out the step 9; step9, storing the initial air route in the optimal air route set, reinitializing the initial air route, judging whether the maximum number of iterations is reached or not, if not, carrying out the step3, and if so, carrying out the step 10; and step 10, processing the optimal air route set to obtain the aircraft cooperative air route.

Description

technical field [0001] The application belongs to the technical field of aircraft collaborative route planning and design, and specifically relates to an aircraft collaborative route planning method. Background technique [0002] In practice, multiple aircraft formations are often required to cooperate to complete a certain task. In order to meet the performance constraints of the aircraft itself and the associated constraints between the aircraft, it is necessary to plan the coordinated route of the aircraft, among which: [0003] The performance constraints of the aircraft itself include: the minimum flight distance of the aircraft, the maximum climb rate, the maximum glide rate, the minimum turning angle, etc.; [0004] The association constraints between aircraft include: [0005] Time domain constraints, each aircraft needs to meet the agreed time and its timing in the time sequence; [0006] Airspace constraints, no collisions between aircraft. [0007] At present, ...

AI Technical Summary

Problems solved by technology

[0008] 1) It is necessary to pre-generate a large number of auxiliary points in the search space to complete the route planning of each aircraft separately, which takes a lot of time and is difficult to meet the real-time requirements of aircraft collaborative route planning;

[0009] 2) The generated routes can only avoid static threat sources, but cannot avoid dynamic threat sources;

[0010] 3) It is difficult to simultaneously satisfy the performance constraints of the aircraft itself and the associated constraints between aircraft;

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