Pan Yinsong, Li Zhengying, Wang Lifang, et al. The precise positioning system of mica trough based on machine vision[J]. Opto-Electronic Engineering, 2018, 45(7): 170600. doi: 10.12086/oee.2018.170600
Citation: Pan Yinsong, Li Zhengying, Wang Lifang, et al. The precise positioning system of mica trough based on machine vision[J]. Opto-Electronic Engineering, 2018, 45(7): 170600. doi: 10.12086/oee.2018.170600

The precise positioning system of mica trough based on machine vision

    Fund Project: Supported by National Natural Science Fund (41371338) and Chongqing Fundamental and Frontier Research Program Fund (cstc2013jcyj A40005)
More Information
  • In view of the issue that in the process of locomotive motor commutator maintenance and processing, laser modulation and positioning type mica slot engraving system are widely used in real applications. However, it has low precision and requires a lot of human intervention. To overcome this problem, this paper proposed a precise positioning method of mica slot based on machine vision, which can accurately extract the edge of the motor commutator. The system first independently designs the precision compensation algorithm and constructs the positioning error correction model. Based on this, the embedded system platform is built to realize the automatic, rapid and accurate positioning the center line of the mica slot. Then the system achieves accurate calculation the deviation between the knife and the center line and control the bit tool to move to the correct engraved position. Experimental results indicate that the instrument can accurately calculate the position of the mica slot center line. Through the servo motor control burin to adjustment and aim the midline, the knife positioning error has been controlled between the positive and negative 0.02 mm, achieving the entire operation process automation and precision.
  • 加载中
  • [1] Fakih B, Dienwiebel M. The structure of tribolayers at the commutator and brush interface: a case study of failed and non-failed DC motors[J]. Tribology International, 2015, 92: 21-28. doi: 10.1016/j.triboint.2015.05.008

    CrossRef Google Scholar

    [2] Masahiro S, Yomei Y, Hideki C, et al. Rotor repair method and rotor repair apparatus: 2256226A1[P]. 2010-12-01.

    Google Scholar

    [3] Clark S W, Stevens D. induction motor rotor bar damage evaluation with magnetic field analysis[J]. IEEE Transactions on Industry Applications, 2016, 52(2): 1469-1476. doi: 10.1109/TIA.2015.2508424

    CrossRef Google Scholar

    [4] Fortes M Z, Dos Santos C H R, Oliveira R F, et al. Fast flashover identification methodology on brushed DC machines[J]. Wseas Transactions on Circuits and Systems, 2013, 13: 246-252.

    Google Scholar

    [5] 何婷婷, 郭建强, 李芳, 等.光电跟踪伺服系统的研究[J].信息技术, 2013(8): 61-63.

    Google Scholar

    He T T, Guo J Q, Li F, et al. Photoelectric tracking servo system[J]. Information Technology, 2013(8): 61-63.

    Google Scholar

    [6] 刘壮, 李英博, 张浩钧, 等.菲涅尔透镜激光四象限定位系统光学设计[J].光电工程, 2016, 43(9): 62-66, 71.

    Google Scholar

    Liu Z, Li Y B, Zhang H J, et al. Optical design for laser four-quadrant location system based on fresnel lens[J]. Opto-Electronic Engineering, 2016, 43(9): 62-66, 71.

    Google Scholar

    [7] Guan G H, Zhai W Z. Design of a commutator automatic slotting machine based on ccd camera[C]//Proceedings of the 2012 International Conference on Computer Science and Electronics Engineering. Washington, DC, 2012, 3: 689-693.

    Google Scholar

    [8] Isato M, Sawa K, Ueno T. Commutation phenomena and brush wear of dc motor at high speed rotation[J]. IEICE Transactions on Electronics, 2017(9): 716-722.

    Google Scholar

    [9] Zhang J H, Xu Y Y. Design of detection system of traction motor commutator based on computer vision[J]. Advanced Materials Research, 2012, 466-467: 1290-1294. doi: 10.4028/www.scientific.net/AMR.466-467

    CrossRef Google Scholar

    [10] Litovchenko V V, Kokorin D V, Nazarov D V. A mathematical model of a commutator traction motor[J]. Russian Electrical Engineering, 2014, 85(8): 498-504. doi: 10.3103/S1068371214080082

    CrossRef Google Scholar

    [11] Weyori B A, Boateng K O, Yeboah P K, et al. Design and implementation of the block matching hybrid median filter for noise removal in color images[J]. International Journal of Innovative Computing Information & Control, 2016, 12(6): 255-263.

    Google Scholar

    [12] Liu A, Zhao Z Y, Zhang C Q, et al. Median filtering forensics in digital images based on frequency-domain features[J]. Multimedia Tools and Applications, 2017, 76(21): 22119-22132. doi: 10.1007/s11042-017-4845-0

    CrossRef Google Scholar

    [13] Gonzalez R C, Woods R E. Digital Image Processing[M]. 3rd Ed. The USA, Pearson Education, 2011: 347-348.

    Google Scholar

    [14] 朱威, 韩巨峰, 陈朋, 等.基于噪声点多级检测的自适应中值滤波算法[J].光电工程, 2013, 40(10): 63-69. doi: 10.3969/j.issn.1003-501X.2013.10.011

    CrossRef Google Scholar

    Zhu W, Han J F, Chen P, et al. Adaptive median filter algorithm based on multi-stage noise detection[J]. Opto-Electronic Engineering, 2013, 40(10): 63-69. doi: 10.3969/j.issn.1003-501X.2013.10.011

    CrossRef Google Scholar

    [15] Aranda L A, Reviriego P, Maestro J A. Error detection technique for a median filter[J]. IEEE Transactions on Nuclear Science, 2017, 64(8): 2219-2226.

    Google Scholar

  • Overview: In the process of using locomotive motor commutator, due to the copper brush constantly rubbing, the copper scraps accumulate in the mica under the action of long time. In this case, the boundary between the copper and the mica slot becomes blurred, thus the motor commutator needs to be repaired on a regular basis. A traditional method is to use a laser-modulated positioning mica slotting system to perform engraving of the mica slot. However, the system detects the location of the mica slot depending on the reflectance of the laser, which is so different between copper bars and mica pieces. It can only get the approximate position of its center line and often appear missing and wrong situation. Therefore, it is necessary to perform error compensation by manual verification before each cutting to avoid unnecessary damage to the motor commutator, and at the same time, this method makes the work efficiency low. In order to improve the positioning accuracy and efficiency, this paper proposes an accurate positioning method of mica trough based on machine vision, which can effectively overcome the difficulties in precise extraction of the mica groove edges belong to motor commutator. In every working cycle, the system utilizes CCD camera to capture the current motor commutator surface image, then transfers the picture to the system’s numerical calculation module. Combing with the positioning error correction model constructed by the system, the self-designed precision compensation algorithm can accurately locate center line of the mica slot. After the positioning result transmitted to the main control unit, the servo system can control the burin to move to the designated position cutting the groove. When the above tasks are completed, the motor commutator can rotate into the next working cycle. The core part of the system is the precision compensation algorithm, which can precisely control each part of the center line positioning process of the mica slot, make precise positioning of the edge of the mica slot and avoid making the scratch mistaken for mica slot. Then finding out the correct location of the center line of the mica slot, the algorithm can also avoid the emergence of some extreme conditions to ensure the stable operation of the entire system. The experimental results show that the system can accurately calculate the midline position of the mica slot and control the positioning error of the knife between positive and negative 0.02 mm, which effectively improves the positioning accuracy and efficiency.

  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Figures(10)

Tables(1)

Article Metrics

Article views(7083) PDF downloads(3139) Cited by(0)

Access History
Article Contents

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint