吉林大学学报(工学版) ›› 2012, Vol. 42 ›› Issue (01): 193-198.

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Design and implement of helicopter blade pyramid angle measurement based on panoramic vision technology

JIANG Mai, CAI Cheng-tao, DENG Chao, ZHU Qi-dan   

  1. College of Automation, Harbin Engineering University, Harbin 150001,China
  • Received:2010-06-07 Online:2012-01-01 Published:2012-01-01

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Abstract:

According to the investigation of existing rotor blade measuring methods, a new measuring method of blade pyramid angle was proposed based on panoramic vision technology. A group of inverse projection equations were derived from panoramic spherical reductive algorithm to calculate the difference of blade pyramid angles. The target blade real-time extraction was realized by synchronization circuit to control the camera, and the corresponding solving method of the panoramic image was studied. The pulse coupled neural network (PCNN) algorithm was adopted for the initial segmentation of image. Then the feature extraction process of the processed image through region labeling algorithm was introduced to obtain a better recognition rate. Experiment results show that this method has high accuracy and suitable for rotor blade pyramid angle measuring system and can be used in future actual production process.

Key words: automatic control technology, helicopter blades pyramid angle, panoramic vision technology, inverse projection equations, pulse coupled neural network(PCNN), region labeling

CLC Number: 

  • TP24


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