Detection of motor rotor position based on image reversible phase-correlation algorithm

ZHAO Ji-wen; HUANG Biao; WANG Li-zhi; WU Hong-biao

doi:10.3788/OPE.20132106.1613

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Detection of motor rotor position based on image reversible phase-correlation algorithm

更新时间：2020-08-12

- Detection of motor rotor position based on image reversible phase-correlation algorithm
- Optics and Precision Engineering Vol. 21, Issue 6, Pages: 1613-1620(2013)
- 作者机构：
  
  安徽大学电气工程与自动化学院
- 作者简介：
- 基金信息：
  
  Research for the Spatial Harmonic Suppression of Permanent Magnet Linear Motor Based
- DOI：10.3788/OPE.20132106.1613
  CLC： TM306;TP391
- Received：24 December 2012，
  
  Revised：06 March 2013，
  
  Published Online：20 June 2013，
  
  Published：15 June 2013
- 稿件说明：
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赵吉文黄彪王荔枝吴红标. 基于图像求逆相位相关算法检测电机转子位置[J]. 光学精密工程, 2013,21(6): 1613-1620

ZHAO Ji-wen HUANG Biao WANG Li-zhi WU Hong-biao. Detection of motor rotor position based on image reversible phase-correlation algorithm[J]. Editorial Office of Optics and Precision Engineering, 2013,21(6): 1613-1620
赵吉文黄彪王荔枝吴红标. 基于图像求逆相位相关算法检测电机转子位置[J]. 光学精密工程, 2013,21(6): 1613-1620 DOI： 10.3788/OPE.20132106.1613.

ZHAO Ji-wen HUANG Biao WANG Li-zhi WU Hong-biao. Detection of motor rotor position based on image reversible phase-correlation algorithm[J]. Editorial Office of Optics and Precision Engineering, 2013,21(6): 1613-1620 DOI： 10.3788/OPE.20132106.1613.

摘要

提出了一种基于图像测量技术的电机转子位置检测方法。利用高速面阵CCD相机连续拍摄转动状态的电机转子的端面图像帧序列，然后对采集的相邻两幅灰度图像进行极坐标变换和相位相关运算，得出转子的旋转角度值。由于所拍摄端面图像的纹理信息与相位相关运算的准确性有关，故对图像的纹理信息进行了逆行重构，以得出可使运算准确的图像，保证检测的准确性。为了提高检测效率，采用自适应方法完成图像的极坐标变换，即根据测量精度的要求确定图像的采样范围，从而减少了运算量。实验结果显示，运算结果的准确率为100%，并且测量可适应一定范围内的光照强弱变化。与直接进行极坐标变换的运算相比，运算耗时降低了50%以上，结果为电机转子的位置检测提供了可靠保障。

Abstract

A detecting method for motor rotor position was proposed based on image measurement technique. Firstly

the image of motor rotor was taken by a high-speed area CCD ceaselessly when the motor was rotating; then every two collected adjacent images were converted from a Descartes coordinate to a polar coordinate; finally

these images in the polar coordinate were calculated by phase-correlation algorithm

and the rotation angle was obtained according to the position of the phase-correlation peak. As the texture information of calculated image was related to the accuracy of phase-correlation

the calculated image was reconstructed to obtain an image to assure the right calculated result for implementing exact detection. Meanwhile

detection efficiency was required to increase

so the adaptive method was used in polar transformation

namely

only part of the pixels in the image was sampled according to the need of measurement precision. Experimental results show that the measurement accuracy of the proposed method is 100% and this measurement can be achieved in the environment with some different illumination intensities. Moreover

the calculating time can be reduced by over 50% as compared with that using polar transformation directly. The proposed method provides a reliable way for the detection of motor rotors.

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references

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