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Heterogeneous Cooperative Flight Conflict Resolution Method Based on Evolutionary Game

An evolutionary game and flight conflict technology, applied in the field of aircraft, can solve problems such as the inability to continue to use cooperative flight conflict resolution methods, and achieve the effects of improving accuracy and timeliness, reducing the amount of calculation, and improving accuracy

Active Publication Date: 2020-07-31
BEIJING INFORMATION SCI & TECH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, in the process of actual multi-aircraft coordinated flight, there are often one or more differences in the communication range, flight speed, engine power performance and other parameters of each individual aircraft, and there may be one or more aircraft in the entire aircraft. The group has a higher priority, so it is impossible to continue to use the homogenized collaborative flight conflict resolution method to resolve the heterogeneous multiple aircraft collaborative flight conflicts

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  • Heterogeneous Cooperative Flight Conflict Resolution Method Based on Evolutionary Game
  • Heterogeneous Cooperative Flight Conflict Resolution Method Based on Evolutionary Game
  • Heterogeneous Cooperative Flight Conflict Resolution Method Based on Evolutionary Game

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Embodiment 1

[0038] The following combination Figure 1 to Figure 6 Embodiment 1 of the present application will be described.

[0039] Such as figure 1 As shown, this embodiment provides a heterogeneous cooperative flight conflict resolution method based on evolutionary game, including:

[0040] Step 1, record any aircraft in the multi-aircraft group as a detection aircraft, and determine the set of neighbor aircraft corresponding to the detection aircraft according to the detection radius of the detection aircraft, wherein the set of neighbor aircraft includes at least one neighbor aircraft, and the neighbor aircraft belongs to the multi-aircraft group ;

[0041] Specifically, in a multi-aircraft group, for different types of aircraft, there are differences in parameters such as detection range, flight speed, and engine power performance, especially for the detection range (detection radius) of each aircraft, which is an important parameter for the safe flight of the aircraft And impo...

Embodiment 2

[0096] The following combination Figure 7 to Figure 9 Embodiment 2 of the present application will be described.

[0097] Such as Figure 7 As shown, this embodiment provides an autonomous conflict resolution method for dense flights based on pre-order flight information, including:

[0098] Step 5, when it is determined that the data communication between the detection aircraft and any neighbor aircraft in the neighbor aircraft set is abnormal, according to all the simple flight strategies of the detection aircraft in the multi-aircraft group and the current flight strategy of the neighbor aircraft, the normalization algorithm is adopted The sum weighting algorithm calculates the individual expected income corresponding to the detection aircraft, where the individual expected income includes individual safety income and individual efficiency income, and the current flight strategy of the neighbor aircraft is determined by the detection aircraft according to the dete...

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Abstract

The invention discloses an evolutionary game based heterogeneous cooperative flight conflict resolution method. The method comprises the steps of 1, recording any aircraft in a multi-aircraft group asa detection aircraft, and determining a neighbor aircraft set corresponding to the detection aircraft according to the detection radius of the detection aircraft; 2, calculating the total game revenue of the detection aircraft to the neighbor aircraft set according to an evolutionary game algorithm; 3, calculating the flight strategy learning probability of the detection aircraft according to thetotal game revenue of the detection aircraft and the total game revenue of the neighbor aircraft; and updating a flight execution strategy of the detection aircraft according to the flight strategy learning probability, wherein the flight execution strategy is one of a self-flight strategy of the detection aircraft or a self-flight strategy of the neighbor aircraft. According to the technical scheme of the invention, cooperative flight conflict resolution is performed on multiple heterogeneous aircrafts, and the safety of cooperative flight of the whole aircraft group is improved.

Description

technical field [0001] The present application relates to the technical field of aircraft, in particular, to a method for solving conflicts of heterogeneous cooperative flight based on evolutionary game. Background technique [0002] Multi-aircraft cooperative flight is to find the interaction rules among individual aircraft. The goal of these interaction rules is to achieve and maintain a globally consistent target state without the need for global unified control. The conflict problem of multi-aircraft cooperative flight is actually the conflict of interests among aircraft. Evolutionary game is a theory that combines game theory and dynamic evolution process. The research goal is to find the stable equilibrium point in the game evolution process. Therefore, the process of cooperative flight can be regarded as the continuous interaction and time between multiple aircraft. The evolutionary game process of evolution, through this kind of interaction and evolution, looks for ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G5/04G08G5/00
CPCG08G5/003G08G5/04
Inventor 王炜烨
Owner BEIJING INFORMATION SCI & TECH UNIV