Matrix data analysis methods for applications in laser beam position measurement modules

IF 0.5 Q4 OPTICS Photonics Letters of Poland Pub Date : 2022-12-31 DOI:10.4302/plp.v14i4.1181
G. Budzyń, Jędrzej Barański, J. Rzepka
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Abstract

This paper addresses the problem of selecting an optimal algorithm suitable for real-time processing of matrix sensor data in laser beam positioning applications. We compare four different algorithms and prove that the chosen one provides the same results in time by several orders of magnitude lower and with negligible memory consumption, making it suitable for use in microcontroller-based sensing modules. Full Text: PDF ReferencesS. Donati, Electro-Optical Instrumentation-Sensing and Measuring with Lasers (Prentice Hall, Upper Saddle River, NJ, 2004). DirectLink K.N. Joo, J.D. Ellis, E.S. Buice, J.W. Spronck, R.H. Munning Schmidt, "High resolution heterodyne interferometer without detectable periodic nonlinearity", Optics Expr. 18(2), 1159 (2010). CrossRef G. Budzyń, J. Rzepka, "Study on Noises Influencing the Accuracy of CNC Machine Straightness Measurements Methods Based on Beam Position Detection", J. Machine Engin. 20(3), 76 (2020). CrossRef Reference materials for PSD and CMOS sensors, , referenced 7-11-2022 CrossRef S. Das, A. Saha, "Laser Beam Position-Dependent PSD-Based Calibrated Self-Vibration Compensated Noncontact Vibration Measurement System", IEEE Trans. Instr. Meas. 68(9), 3308 (2019). CrossRef P. Zhang, J. Liu, H. Yang, L. Yu, "Position Measurement of Laser Center by Using 2-D PSD and Fixed-Axis Rotating Device", IEEE Access 7, 140319 (2019). CrossRef J. Rzepka, G. Budzyn, "Laser measurement system for machine tools", Proc. SPIE 5144, 840 (2003). CrossRef S. Xiang, H. Li, M. Deng et al., "Geometric error identification and compensation for non-orthogonal five-axis machine tools", Int. J. Adv. Manuf. Technol. 96, 2915 (2018). CrossRef N. Hagen, E. Dereniak, "Gaussian profile estimation in two dimensions", App. Opt. 47(36), 6842 (2008). CrossRef S.M. Ross, Introduction to Probability and Statistics for Engineers and Scientists (Academic Press 2014). CrossRef
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用于激光束位置测量模块的矩阵数据分析方法
本文解决了在激光束定位应用中选择适合矩阵传感器数据实时处理的最优算法的问题。我们比较了四种不同的算法,并证明所选择的算法在时间上提供了相同的结果,降低了几个数量级,并且具有可忽略的内存消耗,使其适用于基于微控制器的传感模块。全文:PDF参考文件。Donati,激光光电仪器传感和测量(Prentice Hall,Upper Saddle River,NJ,2004)。DirectLink K.N.Joo,J.D.Ellis,E.S.Buice,J.W.Spronck,R.H.Munning Schmidt,“无可检测周期非线性的高分辨率外差干涉仪”,Optics Expr。18(2),1159(2010)。CrossRef G.Budzyń,J.Rzepka,“基于光束位置检测的影响数控机床直线度测量方法精度的噪声研究”,J.机械工程。20(3),76(2020)。用于PSD和CMOS传感器的CrossRef参考材料,参考7-11-2022 CrossRef S.Das,A.Saha,“基于激光束位置相关PSD的校准自振动补偿非接触振动测量系统”,IEEE Trans。仪表测量。68(9),3308(2019)。CrossRef P.Zhang,J.Liu,H.Yang,L.Yu,“利用二维PSD和固定轴旋转装置测量激光中心位置”,IEEE Access 7,140319(2019)。CrossRef J.Rzepka,G.Budzyn,“机床激光测量系统”,Proc。SPIE 5144840(2003)。CrossRef S.Xiang,H.Li,M.Deng等,“非正交五轴机床的几何误差识别与补偿”,国际先进制造技术杂志。962915(2018)。CrossRef N.Hagen,E.Dereniak,“二维高斯剖面估计”,应用。选择47(36),6842(2008)。CrossRef S.M.Ross,《工程师和科学家概率与统计学导论》(学术出版社,2014年)。CrossRef
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1.40
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0.00%
发文量
24
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