Distributed online adaptive task planning system for unmanned aerial vehicle group

By designing a distributed online adaptive task planning system for drone groups and using distributed computing and online optimization algorithms, the problems of insufficient collaborative combat capabilities and insufficient real-time autonomy of drone groups in complex tasks are solved, efficient, flexible and intelligent task planning and collaborative operations are achieved, and the execution efficiency and security of drone groups are significantly improved.

CN119668286AInactive Publication Date: 2025-03-21四川吉利学院
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Patent Information

Application Number
CN202510181033.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-19
Publication Date
2025-03-21
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing UAV Squad mission planning system has insufficient collaborative combat capabilities in complex tasks, lacking real-time and autonomy, resulting in inefficient task execution. In the face of complex and changing battlefield environments and task requirements, the system cannot quickly make decisions and adjust plans.

Method used

A distributed online adaptive task planning system for drone groups is designed, including data acquisition and processing module, task planning and allocation module, path planning module, payload configuration module, real-time monitoring and adjustment module, collaborative control module, real-time communication module and optimization module. Distributed computing technology and online optimization algorithm are used to realize task planning, path planning, payload configuration and real-time monitoring and adjustment.

Benefits of technology

It significantly improves the efficiency and safety of the drone cluster when performing complex tasks, improves the system's self-organization ability, dynamic adaptability and collaborative operation efficiency, enhances the system's ability to deal with emergencies, and reduces the risk of single point failures.

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Abstract

The invention discloses a distributed online adaptive task planning system for an unmanned aerial vehicle group, and relates to the technical field of unmanned aerial vehicle task planning. The system comprises a data acquisition and processing module, a task planning and distribution module, a path planning module, a load configuration module, a real-time monitoring and adjusting module, a cooperative control module, a real-time communication module and an optimization module, and generating a task planning scheme and performing task allocation by applying an online optimization algorithm and a self-adaptive technology. According to the invention, the task planning and distribution module integrates advanced algorithms and technologies to perform task planning and task distribution, so that each unmanned aerial vehicle can bear appropriate task load, an unmanned aerial vehicle / vehicle cluster can autonomously and efficiently complete diversified tasks in a complex environment, intelligent scheduling, path optimization and cooperative operation of the unmanned aerial vehicles / vehicles are realized, and the unmanned aerial vehicle / vehicle cluster is enabled to be more intelligent. And the self-organization capability, the dynamic adaptability and the collaborative operation efficiency of the unmanned aerial vehicle group are improved.
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