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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2015, Vol. 36 ›› Issue (12): 3991-4000.doi: 10.7527/S1000-6893.2015.0243

• Material Engineering and Mechanical Manufacturing • Previous Articles     Next Articles

Defect detection and closed-loop control system for automated fiber placement forming components based on machine vision and UMAC

WEN Liwei1, SONG Qinghua1, QIN Lihua2, XIAO Jun1   

  1. 1. College of Materials Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
    2. Beijing Institute of Space Long March Vehicle, Beijing 100076, China
  • Received:2015-06-25 Revised:2015-08-31 Online:2015-12-15 Published:2015-09-06
  • Supported by:

    National Basic Research Program of China (2014CB046501); Priority Academic Program Development of Jiangsu Higher Education Institutions

Abstract:

In order to ensure the performance and accuracy of the automated fiber placement (AFP) forming components, detect the quality of the forming components effectively and control the spacing between the fibers, this paper designs a forming components defect detection and real-time closed-loop control system based on the machine vision technology. The control program is divided into three main parts:image acquisition and defect detection, data transmission and the motion-axis feedback control. Considering the problem that the images captured by the camera have motion blur and low signal-to-noise ratio (SNR), the image preprocessing module has been divided into image restoration function and noise reduction function. According to different types of noises, a variety of filtering methods have been used to reduce the noise and improve the SNR of images, providing good quality of the prepreg image for edge extraction. The prepreg defect can be mainly described by the edge line, so we further study the prepreg edge location to realize defect detection. It is necessary to solve the function of sending command to image acquistion controller communication by industrial computer, and exchanging of information between industrial computer and UMAC to realize the data transmission. In addition, this paper discusses the fuzzy control theory. The adaptive parameter is introduced after the defuzzification to adapt to the velocity jump. The fuzzy control theory is successfully applied to the forming components defect detection and real-time closed-loop control system, and it has a high tracing accuracy.

Key words: automated fiber placement, CCD camera, UMAC, defect detection, closed-loop control, fuzzy control

CLC Number: