Small unmanned aerial vehicle prevention and control command decision-making method and system based on reinforcement learning

Abstract

The invention discloses a small unmanned aerial vehicle prevention and control command decision-making method based on reinforcement learning. The method comprises the steps of determining the composition of a small unmanned aerial vehicle prevention and control system; the small unmanned aerial vehicle prevention and control system comprising a detection subsystem, a disposal subsystem and a command control system; wherein the detection subsystem is used for providing combat situation information, and the disposal subsystem is responsible for implementing prevention and control disposal; establishing a three-degree-of-freedom particle motion model of the small unmanned aerial vehicle; constructing a prevention and control command decision model; training and optimizing a small unmanned aerial vehicle prevention and control command decision model; and verifying and evaluating the prevention and control effect of the prevention and control command decision model. The invention also discloses a small unmanned aerial vehicle prevention and control command decision-making system based on reinforcement learning. The system comprises a multi-source data fusion module, a situation analysis module, a prevention and control planning module and an effect evaluation module. The problems that an existing prevention and control command decision-making system is low in decision-making speed, difficult to process complex scenes and the like are solved, and the method can be widely applied to the fields of small unmanned aerial vehicle control, civil supervision and military affairs.

Description

Technical field [0001] The present invention belongs to the technical field of command control, and in particular, a small drone prevention and control command decision decision method and system based on strengthening learning. Background technique [0002] At present, there have been many relevant mature technologies and results at home and abroad, but how to build a specific disposal strategy in the use of detection information and how to build small drones. The problem of controlling the command decision system, still has to rely on the commander to conduct people-oriented decisions, and the operator completes the related disposal instructions of the drone according to the decision-making results. [0003] Considering the development level of the current command control system, existing small drones prevention and control command control systems have the following issues: (1), small drones prevention and control work mainly rely on operators to complete, command The degree of...

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Problems solved by technology

[0004] Aiming at the problem of automatic generation of process strategies such as detection and analysis of low-altitude targets such as small unmanned aerial vehicles, prevention and control command control, and dispatching and disposal in complex scenes such as cities, the present invention discloses a small unmanned aerial vehicle prevention and control command based on reinforcement learning. The decision-making method and system realize the efficient transformation of the comprehensive situational data of small UAV prevention and control into the UAV prevention and control disposal plan and instructions. It has effectively improved the level of intelligent decision-making in the four stages of small UAV prevention and control command process, including situation fusion, threat analysis, planning scheme, and disposal control, and solved the problem of slow decision-making speed and difficulty in handling complex issues in the existing prevention and control command and decision-making system. Scenarios and other issues, meeting the needs of small UAVs for prevention and control

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