Bionic Visual Navigation for Wind-Disturbed Aerial Refueling Docking

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Solution Overview

Problem

Conventional navigation methods for autonomous aerial refueling, such as inertial and GPS systems, face challenges in achieving accurate and stable close-range navigation and control during the docking stage of probe-and-drogue refueling due to multi-wind disturbances, leading to errors and inefficiencies in relative position control between the UAV and the drogue.

Innovation Solution

A bionic visual navigation control system is developed, incorporating a tanker/receiver bottom layer control module, multi-wind disturbances hose-drogue stable control module, enable and select module, close-range bionic vision relative navigation module, and receiver relative position precise control module, utilizing visual navigation to enhance accuracy and stability by extracting feature points from images and employing PID controllers for precise control.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Duration of action of moving object

If conventional inertial navigation systems are used for autonomous aerial refueling, then the system can provide continuous navigation data, but the navigation accuracy deteriorates over time due to error accumulation

Engineering Contradiction:
Improvecontinuous navigation data provisionVSAvoidnavigation accuracy
Core Design Contradiction:
Duration of action of moving objectVSMeasurement precision

Solution Approach 1:

The patent combines inertial navigation system with visual navigation system to form a hybrid navigation system. The inertial system provides continuous navigation data while the visual system corrects accumulated errors, achieving both continuous operation and maintained accuracy throughout the refueling process

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The visual navigation system provides feedback to correct the error accumulation of the inertial system. By continuously comparing visual position data with inertial navigation data, the system can detect and compensate for drift, maintaining navigation accuracy over extended periods

Inventive Principle:
Principle #23Feedback

2Ease of operation

If GPS technology is used for autonomous aerial refueling, then the system is convenient to use, but the accuracy and anti-interference ability deteriorate due to reliance on satellites

Engineering Contradiction:
Improvesystem convenienceVSAvoidanti-interference ability
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The visual navigation system acts as an intermediary that reduces dependence on satellite signals. By using visual feature points on the drogue for position and attitude determination, the system can operate independently of GPS, improving anti-interference ability while maintaining ease of operation

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system transitions from relying on satellite-based GPS parameters to using visual parameters extracted from drogue images. This parameter change enables the system to maintain convenience while achieving superior anti-interference capability through local visual features rather than external satellite signals

Inventive Principle:
Principle #35Parameter changes

3Quantity of substance

If conventional navigation methods are used during the docking stage, then the system can provide navigation data, but the close-range relative navigation accuracy deteriorates due to multi-wind disturbances

Engineering Contradiction:
Improvenavigation data provisionVSAvoidclose-range relative navigation accuracy
Core Design Contradiction:
Quantity of substanceVSMeasurement precision

Solution Approach 1:

The patent replaces conventional inertial and GPS navigation methods with a visual navigation system that uses image processing to extract drogue position and attitude information. This substitution provides more accurate close-range navigation data that is less susceptible to wind disturbances, enabling precise docking control

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The visual navigation system uses color-based feature point extraction from the drogue to determine position and attitude. By tracking visual features that remain stable under wind disturbances, the system achieves accurate close-range navigation without being affected by mechanical vibrations or atmospheric turbulence

Inventive Principle:
Principle #32Color changes

4Device complexity

If the same control law is used for all stages of autonomous aerial refueling, then the control system is simple to implement, but the control precision deteriorates because different stages have different control objectives

Engineering Contradiction:
Improvecontrol system simplicityVSAvoidcontrol precision
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The control system dynamically adjusts control laws based on the current stage of autonomous aerial refueling. Different control objectives for rendezvous, docking, and separation stages are addressed by switching between appropriate control laws, achieving high precision control while maintaining reasonable system complexity through staged control strategies

Inventive Principle:
Principle #15Dynamics

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

The system improves the accuracy and reliability of close-range navigation and control during the docking stage, effectively reducing the impact of wind disturbances and enhancing the autonomy of UAVs by using visual navigation to achieve precise pose measurement and position control.

Implementation Method 1

The visual navigation technology extracts the feature points of the target through image processing to perform pose measurement, thereby providing guidance information for the UAV

Methodology Applied
Scientific EffectVisual navigation: Image Processing

Implementation Method 2

employing PID controllers for precise control

Methodology Applied
Scientific EffectPID control: Feedback

Data Source

PatentUS11427316B2Bionic visual navigation control system and method thereof for autonomous aerial refueling docking
Publication Date: 2022.08.30 BEIHANG UNIV
  • US11427316B2 patent drawing
  • US11427316B2 patent drawing
  • US11427316B2 patent drawing

AI summary

A bionic visual navigation control system for autonomous aerial refueling docking includes: a tanker/receiver bottom layer control module, a multi-wind disturbances hose-drogue stable control module, an enable and select module, a close-range bionic vision relative navigation module, and a receiver relative position precise control module. A bionic visual navigation control method for autonomous aerial refueling docking is also provided. The present invention aims at improving the reliability, anti-interference and accuracy of the close-range relative navigation in the autonomous air refueling docking stage, and designs a matching relative position accurate control method with control switch, thereby improving the accuracy of close-range navigation and control, thereby promoting the successful realization of probe-and-drogue autonomous aerial refueling and improving the autonomy of UAVs.