UAV Flight Plan Adaptation via Operational Rule Files

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Solution Overview

Problem

Unmanned aerial vehicles (UAVs) lack the capability to autonomously plot alternate routes that avoid restricted areas based on changes in their state or objectives during flight, while ensuring the routes are within their operational capabilities and compliant with flight rules.

Innovation Solution

A computer-implemented method and system that utilize a procedure description language generator and operational rule file to generate and modify vehicle operation plans for UAVs, ensuring compliance with performance constraints and operating restrictions by reconfiguring the mission in real-time based on changes in the UAV's state.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If UAVs follow a preset flight plan autonomously, then the operation is simple and reliable, but the UAV cannot adapt to changes in objectives or state during flight

Engineering Contradiction:
Improveadaptability to changesVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces a ground-based server as an intermediary between the UAV and the flight planning system. The server receives procedure descriptions, operational rules, and vehicle operation schedules, then generates and updates flight plans that are transmitted back to the UAV. This intermediary handles the complex processing of adapting flight plans to changing conditions, allowing the UAV itself to remain relatively simple while gaining adaptive capabilities through the server's computational resources.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Adaptability or versatility

If the UAV autonomously plots alternate routes, then the adaptability to changes improves, but the capability to ensure compliance with flight rules and operational restrictions deteriorates

Engineering Contradiction:
Improveroute planning flexibilityVSAvoidcompliance reliability
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The system performs preliminary actions by pre-defining operational rules and procedure descriptions that encode flight restrictions, performance constraints, and compliance requirements. These rules are established before flight operations begin and are stored in the system. When generating or modifying flight plans, the system automatically applies these pre-established rules to ensure compliance, rather than attempting to interpret compliance requirements during real-time autonomous decision-making.

Inventive Principle:
Principle #10Preliminary action

3Productivity

If the flight plan is modified in real-time based on state changes, then the mission completion capability improves, but the processing time and computational load increase

Engineering Contradiction:
Improvemission completion rateVSAvoidreplanning time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The system implements feedback mechanisms where the UAV's current state (position, remaining fuel, payload status, etc.) is continuously monitored and fed back to the flight planning system. When state changes are detected, the system automatically triggers flight plan reevaluation and generates updated plans. This feedback loop enables real-time adaptation without requiring constant manual intervention, balancing mission completion needs with efficient use of time and computational resources.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS10040550B2Procedure description language and operational rule file
Publication Date: 2018.08.07 THE BOEING CO
  • US10040550B2 patent drawing
  • US10040550B2 patent drawing
  • US10040550B2 patent drawing

AI summary

Method and apparatus for planning and modifying a vehicle operation plan. A vehicle operation plan for a vehicle schedule is determined based on performance constraints of the vehicle and an operational rule file that defines operational restrictions on the vehicle based on states of the vehicle. In the event a state changes from a planned state, the vehicle automatically and autonomously recalculates the vehicle operation plan in a manner that satisfies the performance constraints and the operational restrictions.