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首页> 外文期刊>IEEE transactions on industrial informatics >Precise Position Detection of Linear Motor Movers Based on Extended Joint Transformation Correlation
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Precise Position Detection of Linear Motor Movers Based on Extended Joint Transformation Correlation

机译：基于扩展关节变换相关性的线性电动机移动器的精确位置检测

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摘要

The extended joint transformation correlation (EJTC) algorithm is proposed in this paper to meet the high-precision and anti-interference requirements of linear motor mover position measurement. An image measurement system for linear motor mover position is established. Stripe image movement sequences are captured using a high-speed camera. First, the image is preprocessed using a bilateral filtering method. Second, the joint power spectral function of adjacent stripe images is obtained on the basis of the joint transform correlation method. The zero-order diffraction peaks are eliminated, and interference from cross-correlated peak side lobes is avoided. Third, subpixel positioning is obtained using the oversampled discrete Fourier transform. Finally, the actual displacement of the stripe images can be obtained by combining the system calibration coefficients. An experimental measurement platform for a linear motor mover is established to verify the validity of the EJTC algorithm. The EJTC shows high measurement accuracy and strong anti-interference ability.
机译：本文提出了扩展的关节变换相关性（EJTC）算法，以满足线性电动机移动器位置测量的高精度和抗干扰要求。建立了用于线性电动机移动器位置的图像测量系统。使用高速摄像头捕获条纹图像移动序列。首先，使用双侧滤波方法预处理图像。其次，基于关节变换相关方法获得相邻条纹图像的接合功率谱函数。消除零阶衍射峰，避免了来自互相关峰侧叶片的干扰。第三，使用过采样的离散傅里叶变换获得子像素定位。最后，通过组合系统校准系数可以获得条带图像的实际位移。建立了用于线性电动机移动器的实验测量平台，以验证EJTC算法的有效性。 EJTC显示出高测量精度和强烈的抗干扰能力。

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