Unmanned plane independent robust decision-making method based on scenario building

Abstract

The invention discloses an unmanned plane independent robust decision-making method based on scenario building. The unmanned plane independent robust decision-making method based on scenario building is characterized by comprising the following steps that first, the decision variable of a Red unmanned plane and the decision variable of a Blue position in a battle field are defined; second, a scenario is built; third, an influence diagram is established by using an influence diagram modeling method; fourth, the expected utility value of each scenario centralized in scenario of each decision candidate action plan in decision candidate action plans of the Red unmanned plane is calculated; fifth, the Red unmanned plane makes robust decisions according to the expected utility value. The unmanned plane independent robust decision-making method based on scenario building can effectively solve the problem of weak independent decision making capacity in a complex battle field environment, the unmanned plane is made to be capable of making independent decision in various scenarios, accordingly, the independent decision making efficiency and the decision making effect of the unmanned plane are improved, optimal action scheme choosing is achieved, and the feasibility, the effectiveness and the safety of the decision-making scheme are guaranteed.

Description

technical field [0001] The invention relates to a scenario-based autonomous robust decision-making method for unmanned aerial vehicles in a complex battlefield environment, and belongs to the technical field of computer simulation and method optimization. Background technique [0002] Drones are playing an increasingly important role in modern warfare. In the application process of drones, more and more emphasis is placed on their intelligence and autonomy, that is, when faced with changing and complex external conditions, drones are required to be able to make independent decisions and determine their next action plan. For example, when UAVs perform tasks such as intelligence search, target tracking, target reconnaissance, and precision strikes, they need to autonomously plan routes, autonomously take maneuvers, and autonomously determine attack plans. These decision-making behaviors are usually made in a complex battlefield environment, and there are huge risks. Therefor...

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the shortcomings of the existing technology, the present invention proposes a scenario-based autonomous robust decision-making method for unmanned aerial vehicles, which can effectively solve the problem of weak autonomous decision-making ability of unmanned aerial vehicles in complex battlefield environments, making unmanned Man-machines can make autonomous decisions in various scenarios, thereby improving the autonomous decision-making efficiency and decision-making effect of UAVs, realizing optimal action plan selection, and ensuring the feasibility, effectiveness and safety of decision-making plans

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