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A autonomous robust decision-making method for unmanned aerial vehicles based on scenario construction

A decision-making method and unmanned aerial vehicle technology, applied in the direction of position/direction control, non-electric variable control, instruments, etc., can solve problems such as weak independent decision-making ability

Active Publication Date: 2015-12-23
HEFEI UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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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  • A autonomous robust decision-making method for unmanned aerial vehicles based on scenario construction
  • A autonomous robust decision-making method for unmanned aerial vehicles based on scenario construction
  • A autonomous robust decision-making method for unmanned aerial vehicles based on scenario construction

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Embodiment Construction

[0077] The present invention is an autonomous and robust decision-making method for unmanned aerial vehicles based on scenario construction, which is applied to the complex battlefield environment where the red unmanned aerial vehicle attacks the blue high-value target located in the blue position. The high-value target is the center, and the blue side's air defense position is equipped with radar, electronic jamming equipment, anti-aircraft guns and missiles. The blue side's high-value target can be an airport, an oil depot, an ammunition depot, a bridge, a communication center, or a command center. Ability goals such as figure 1 As shown, a scenario-based autonomous robust decision-making method for UAVs proceeds in the following steps:

[0078] Step 1: Define the decision variables of the red drone and the blue position in the battlefield

[0079] Let the red UAV carry electronic support measures state Red_ESMState={on, off}, the red UAV carry SAR radar state Red_SARState=...

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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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05D1/00
Inventor 胡笑旋陈意罗贺马华伟靳鹏夏维
Owner HEFEI UNIV OF TECH
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