| 基于S7-1200AD采样的高效数字滤波算法的设计与实践 |
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| 引用本文： | 陈明方,刘金鑫,张永霞,葛天佑,臧家秀,陈浩.基于S7-1200AD采样的高效数字滤波算法的设计与实践[J].重庆大学学报(自然科学版),2019,42(5):108-118. |
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| 作者姓名： | 陈明方 刘金鑫 张永霞 葛天佑 臧家秀 陈浩 |
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| 作者单位： | 昆明理工大学机电工程学院,昆明,650500;昆明理工大学机电工程学院,昆明,650500;昆明理工大学机电工程学院,昆明,650500;昆明理工大学机电工程学院,昆明,650500;昆明理工大学机电工程学院,昆明,650500;昆明理工大学机电工程学院,昆明,650500 |
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| 基金项目： | 国家重点研发计划项目（2017YFC1702503）；云南省重大科技专项（2017RA010）；昆明理工大学引进人才科研启动基金项目（KKZ3201601002）。 |
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| 摘 要： | 针对西门子S7-1200PLC的AD采样过程中,因外界干扰、传感器采样数据扰动等原因导致的采样数据抖动问题,基于最小均方(LMS,least mean square)原理,设计了一种改进型加权平均数字滤波算法。在1200PLC中通过SCL语言编制对应的滤波算法程序,对AD采样的数据进行数字滤波。通过设计强干扰环境下的AD采样实验证明:该数字滤波算法高效、可靠,采样数据稳定、准确。
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| 关 键 词： | AD采样 权重 最小均方原理 |
| 收稿时间： | 2018/11/30 0:00:00 |
Design and practice of an efficient digital filter algorithm based on S7-1200 AD Sampling |
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| CHEN Mingfang,LIU Jinxin,ZHANG Yongxi,GE Tianyou,ZANG Jiaxiu and CHEN Hao.Design and practice of an efficient digital filter algorithm based on S7-1200 AD Sampling[J].Journal of Chongqing University(Natural Science Edition),2019,42(5):108-118. |
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| Authors: | CHEN Mingfang LIU Jinxin ZHANG Yongxi GE Tianyou ZANG Jiaxiu and CHEN Hao |
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| Institution: | Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, P. R. China,Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, P. R. China,Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, P. R. China,Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, P. R. China,Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, P. R. China and Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, P. R. China |
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| Abstract: | In the AD sampling process of Siemens S7-1200PLC, sampling data jitter is caused by external interference and sensor sampling data disturbance. Based on the principle of Least Mean Square (LMS), an improved weighted average digital filtering algorithm is designed in this paper. In 1200PLC, the corresponding filter algorithm program is compiled by SCL language to filter the sampled data of AD. An experiment is done on the AD sampling under a strong interference environment, and the sampling data is stable and accurate, proving that the digital filtering algorithm is efficient and reliable. |
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| Keywords: | AD data acquisition weight coefficient principle of LMS |
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