Cooperative UAV Control for Optimal Operation Switching

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current systems face challenges in optimally switching operations among multiple unmanned aerial vehicles (UAVs) working together to achieve objectives like searching, tracking, and capturing targets, as determining the optimal operation for each UAV to ensure total optimization is difficult, especially when one UAV is closer to the target than others.

Innovation Solution

A control device that acquires state information from multiple UAVs, generates value information using a calculation criterion, selects the most optimal operation based on this information, and controls the UAVs to execute the specific operation, ensuring total optimization among the group.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If each UAV independently selects operations based on simple proximity to target, then individual operation selection is simplified, but total optimization of the UAV group is compromised

Engineering Contradiction:
Improveoperation selection simplicityVSAvoidtotal optimization achievement
Core Design Contradiction:
Ease of operationVSProductivity

Solution Approach 1:

The patent introduces a control device as an intermediary that receives state information from multiple UAVs, calculates comprehensive value information considering all UAVs' states and distances to target, and provides operation recommendations. This mediator resolves the contradiction by centralizing the optimization calculation while allowing individual UAVs to independently select operations based on the recommendations, thus maintaining simplicity while achieving total optimization.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Productivity

If a centralized control system calculates optimal operations for all UAVs, then total optimization is achieved, but system complexity and calculation burden increase

Engineering Contradiction:
Improvetotal optimization achievementVSAvoidcontrol system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent enables each UAV to autonomously calculate its own operation value information based on received state information from other UAVs and the control device. Each UAV independently determines its optimal operation by comparing value information for different operations, reducing the need for complex centralized control while still achieving coordinated optimization across the entire UAV group.

Inventive Principle:
Principle #25Self-service

3Adaptability or versatility

If UAVs frequently switch operations to respond to changing situations, then adaptability improves, but operation stability deteriorates

Engineering Contradiction:
Improveoperation switching flexibilityVSAvoidoperation stability
Core Design Contradiction:
Adaptability or versatilityVSStability of the object's composition

Solution Approach 1:

The patent implements a feedback mechanism where UAVs continuously transmit state information to the control device and receive updated operation recommendations. The control device calculates value information based on current state information including distances to target and operational status, allowing UAVs to adapt operations to changing situations while maintaining stability through systematic evaluation rather than arbitrary switching.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS11740629B2Control device for autonomous operating machines, control method for autonomous operating machines, and recording medium having control program for autonomous operating machines stored thereon
Publication Date: 2023.08.29 NEC CORP
  • US11740629B2 patent drawing
  • US11740629B2 patent drawing
  • US11740629B2 patent drawing

AI summary

A control device for an autonomous operating machine includes: an acquisition unit that acquires first state information of a first autonomous operating machine and second state information of a second autonomous operating machine in a case where the first and the second autonomous operating machines that operate in cooperation with each other select and execute executable operations as needed in order to achieve an object; a generation unit that generates value information indicating a height of a value of execution for achievement of the object regarding each of the operations that can be executed by the first autonomous operating machine by using a value calculation criterion based on the first state information and the second state information; a selection unit that selects a specific operation from among the operations based on the value information; and a control that controls the first autonomous operating machine to execute the specific operation.