基于E-SPCM的直线电机动子位置高精度测量方法研究
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摘要
针对直线电机动子位置测量,引入一种基于扩展采样相位相关法(E-SPCM)的亚像素位移图像检测方法,以提高测量精度和抗干扰性。首先建立了直线电机位置检测系统,通过高速相机实时采集条纹图像序列;其次对条纹图像进行边缘特征提取,利用相位相关得到相邻条纹图像的互功率谱,即动子位置的整像素位移;进而对整像素邻域的互功率谱进行上采样相位相关计算,实现高精度的亚像素位移测量,进一步由系统标定得到实际位移值。对比传统相位相关算法,所采用的方法能够提高测量精度且有很好的噪声抑制性能,最后搭建了实验检测平台,验证了算法的有效性。
To achieve linear motor mover position measurement, a sub-pixel displacement image detection method based on extended sampling phase correlation method(E-SPCM) is proposed to improve measurement accuracy and anti-interference performance. Firstly, a linear motor position detection system is formulated. The stripe image sequences are captured in real time by a high-speed camera. Secondly, the edge feature extraction is performed on the stripe image. The cross-power spectrum of the adjacent stripe image is obtained based on the phase correlation, which is the integer pixel displacement of mover position. Then, the up-sampling phase correlation is calculated based on the cross-power spectrum of the integer pixel neighborhood. The high-precision sub-pixel displacement measurement is realized and the actual displacement value is further obtained by system calibration. Compared with the traditional phase correlation algorithm, the proposed method can improve the measurement accuracy and noise suppression performance. Finally, an experimental detection platform is established to verify the effectiveness of the proposed algorithm.
To achieve linear motor mover position measurement, a sub-pixel displacement image detection method based on extended sampling phase correlation method(E-SPCM) is proposed to improve measurement accuracy and anti-interference performance. Firstly, a linear motor position detection system is formulated. The stripe image sequences are captured in real time by a high-speed camera. Secondly, the edge feature extraction is performed on the stripe image. The cross-power spectrum of the adjacent stripe image is obtained based on the phase correlation, which is the integer pixel displacement of mover position. Then, the up-sampling phase correlation is calculated based on the cross-power spectrum of the integer pixel neighborhood. The high-precision sub-pixel displacement measurement is realized and the actual displacement value is further obtained by system calibration. Compared with the traditional phase correlation algorithm, the proposed method can improve the measurement accuracy and noise suppression performance. Finally, an experimental detection platform is established to verify the effectiveness of the proposed algorithm.
引文
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[2] 宋俊材,董菲,赵吉文,等.基于重心邻域算法的无铁心永磁同步直线电机优化设计研究[J].中国电机工程学报,2017,37(12):3594-3601.SONG J C,DONG F,ZHAO J W,et al.Design optimization research of air-core permanent magnet permanent magnet synchronous linear motor [J].Proceedings of the CSEE,2017,37(12):3594-3601.
[3] 王擎宇,何娜,芮万智.电磁发射用直线感应电机位置检测系统关键技术研究 [J].中国电机工程学报,2016,36(5):1413-1420.WANG Q Y,HE N,RUI W ZH.Study on key technology of position measurement system for linear induction motor applied in electromagnetic emission system [J].Proceedings of the CSEE,2016,36(5):1413-1420.
[4] 张燕君,田永胜,付兴虎,等.可调量程拉绳式光纤布拉格光栅位移传感器[J].光电工程,2017,44(6):626- 632.ZHANG Y J,TIAN Y SH,FU X H,et al.Adjustable range draw-wire type fiber Bragg grating displacement sensor [J].Opto-Electronic Engineering,2017,44(6):626- 632.
[5] OUYANG Y,HE J,HU J,et al.Contactless current sensors based on magnetic tunnel junction for smart grid applications [J].IEEE Transactions on Magnetics,2015,51(11):1- 4.
[6] CHENG P,MENQ C H.Ultraprecise three-axis visual motion tracking of microscopic objects [J].IEEE Transactions on Instrumentation & Measurement,2017,66(10):2597- 2605.
[7] WANG H,ZHAO J,ZHAO J W,et al.A new rapid-precision position measurement method for linear motor mover based on 1-D EPCA [J].IEEE Transactions on Industrial Electronics,2018,65(9):7485-7494.
[8] 王辉,赵静,赵吉文,等.基于SVD的直线电机动子位置的高精度测量方法[J].仪器仪表学报,2016,37(9):2101- 2107.WANG H,ZHAO J,ZHAO J W,et al.An ultra-precision measurement method based on the SVD for the linear motor mover position [J].Chinese Journal of Scientific Instrument,2016,37(9):2101- 2107.
[9] 张凯,董菲,赵吉文,等.基于图像熵的直线电机动子位置精密测量方法[J].仪器仪表学报,2015,36(12):2821- 2827.ZHANG K,DONG F,ZHAO J W,et al.Precise measurement of linear motor position using an improved digital image correlation based image entropy [J].Chinese Journal of Scientific Instrument,2015,36(12):2821- 2827.
[10] 魏本征,赵志敏,华晋.基于改进形态学梯度和Zernike矩的亚像素边缘检测方法 [J].仪器仪表学报,2010,31(4):838- 844.WEI B ZH,ZHAO ZH M,HUA J.Sub-pixel edge detection method based on improved morphological gradient and Zernike moment [J].Chinese Journal of Scientific Instrument,2010,31(4):838- 844.
[11] PAN B,XIE H M,XU B Q,et al.Performance of sub-pixel registration algorithms in digital image correlation [J].Measurement Science & Technology,2006,17(6):1615-1621.
[12] TONG X,YE Z,XU Y S,et al.A novel subpixel phase correlation method using singular value decomposition and unified random sample consensus [J].IEEE Transactions on Geoscience and Remote Sensing,2015,53(8):4143- 4156.
[13] FOROOSH H,ZERUBIA J B,BERTHOD M.Extension of phase correlation to subpixel registration [J].IEEE Transactions on Image Processing,2002,11(3):188- 200.
[14] KUMAR S,AZARTASH H,BISWAS M,et al.Real-time affine global motion estimation using phase correlation and its application for digital image stabilization [J].IEEE Transactions on Image Processing,2011,20(12):3406-3418.
[15] 窦少昆,赵静,赵吉文,等.直线电机动子位置测量的非周期栅栏图像优选[J].仪器仪表学报,2017,38(2):343-350.DOU SH K,ZHAO J,ZHAO J W,et al.Optimization of the aperiodic fence image for the linear electric motor rotor position measurement [J].Chinese Journal of Scientific Instrument,2017,38(2):343-350.
[16] 田伟峰,刘茜,陈贝,等.基于图像序列的运动目标检测研究[J].现代电子技术,2011,34(12):128-130.TIAN W F,LIU Q,CHEN B.Research of moving object detection based on image sequences [J].Modern Electronics Technique,2011,34(12):128-130.
[17] WANG L J,HAN J,ZHANG Y,et al.Image fusion via feature residual and statistical matching [J].IET Computer Vision,2016,10(6):551- 558.
[18] BHANDARI A K,KUMAR A,SINGH G K.Tsallis entropy based multilevel thresholding for colored satellite image segmentation using evolutionary algorithms [J].Expert Systems with Applications,2015,42(22):8707- 8730.
[19] GUIZARSICAIROS M,THURMAN S T,FIENUP J R.Efficient subpixel image registration algorithms [J].Optics Letters,2008,33(2):156.
[20] WANG H,ZHAO J,ZHAO J W,et al.Position detection method of linear motor mover based on extended phase correlation algorithm [J].IET Science Measurement Technology,2017,11(7):921-928.