Localization method of aircraft intelligent skin impact area based on truncated reverse weighted sum

A technology of intelligent skinning and regional positioning, which is applied in aircraft component testing, aircraft health monitoring devices, elastic testing, etc. It can solve problems such as positioning conflicts and difficult positioning in the middle area, so as to improve reliability, accuracy, The effect of reducing complexity

Active Publication Date: 2019-08-30
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the same time, this method can also effectively solve the problem of positioning conflicts in the network monitoring of multiple impact area monitoring systems and the problem of difficult positioning in the middle area

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Localization method of aircraft intelligent skin impact area based on truncated reverse weighted sum
  • Localization method of aircraft intelligent skin impact area based on truncated reverse weighted sum
  • Localization method of aircraft intelligent skin impact area based on truncated reverse weighted sum

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] In this embodiment, P piezoelectric sensors and M impact area monitoring systems are arranged on the intelligent skin structure of the composite wing of the UAV, forming a total of Q impact monitoring sub-areas, and each impact monitoring sub-area consists of R vertices Composition, wherein P=15, M=1, Q=8, R=4. Impact is applied to No. 2 impact monitoring sub-area, the impact position is as follows image 3 shown. No. 1 to No. 15 piezoelectric sensors generate shock response signals. No. 1 shock area monitoring system converts the response signals of 15 piezoelectric sensors into digital sequences, a total of 15 digital sequences, and the length of each digital sequence obtained is K. Wherein K=500, the obtained digital sequence is as Figure 4 shown. according to Figure 5 As shown in the flow chart of the impact area positioning algorithm, the workflow of the entire monitoring system is as follows:

[0047] 1. Set a value N, and No. 1 impact area monitoring syste...

Embodiment 2

[0052] In this embodiment, P piezoelectric sensors and M impact area monitoring systems are arranged on the intelligent skin structure of the composite wing of the UAV, forming a total of Q impact monitoring sub-areas, and each impact monitoring sub-area consists of R vertices Composition, wherein P=30, M=2, Q=20, R=4. Impact is applied to the No. 17 impact monitoring sub-area, and the impact position is as follows Figure 8 shown. No. 1 to No. 30 piezoelectric sensors generate shock response signals, No. 1 impact area monitoring system converts the response signals of No. 1 to No. 15 piezoelectric sensors into digital sequences, and No. 2 impact area monitoring system converts No. The response signal of the sensor is converted into a digital sequence, a total of 30 digital sequences, the length of each digital sequence obtained is 500 points, the obtained digital sequence is as follows Figure 9 shown. according to Figure 10 As shown in the flow chart of the impact area ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an aircraft intelligent skin impact region positioning method based on a truncated reverse weighted sum, and belongs to the technical field of aerospace intelligent structure and health monitoring. The piezoelectric sensor array is arranged in the intelligent skin structure of the aircraft, and is connected with multiple impact area monitoring systems. After each impact area monitoring system obtains the digital sequence generated by the impact, the method first truncates the digital sequence as a characteristic digital sequence, and calculates The reverse weighted value of the characteristic number sequence, and then the monitoring center calculates the reverse weighted sum of each shock monitoring sub-region according to the piezoelectric sensors that make up the shock monitoring sub-region, and finally judges the reverse weighted sum of the largest shock monitoring sub-region as a shock area where it occurs. The invention is simple, has high positioning accuracy of the impact area, is beneficial to the realization of embedded programming, and can solve the problem of positioning conflicts existing in the network monitoring of multiple impact area monitoring systems and the problem that the middle area is difficult to accurately locate.

Description

technical field [0001] The invention relates to a method for locating an impact area of ​​an aircraft intelligent skin based on a truncated reverse weighted sum, and belongs to the technical field of aerospace intelligent structure and health monitoring. Background technique [0002] The basic idea of ​​aircraft intelligent skin technology is to integrate a large number of sensing / driving components and microprocessors with the skin structure to form a whole, and monitor the environment, working status and health status of the structure through a large number of sensing components. The information is processed by the microprocessor to form a control stimulus, which changes the shape, movement and force state of the structure. Intelligent skinning technology enables the skin structure itself to have the capabilities of self-diagnosis, self-adaptation, self-learning, and self-repair. Therefore, aircraft intelligent skin technology is an important technical guarantee to improv...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): B64F5/60
CPCB64F5/60G01M5/0016G01L5/0052B64D2045/0085
Inventor 邱雷袁慎芳邓晓磊任元强
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap