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作 者:林瑜 朱维斌 黄垚 薛梓[2] LIN Yu;ZHU Wei-bin;HUANG Yao;XUE Zi(School of Metrology and Measurement Engineering,China Jiliang University,Hangzhou 310018,China;China Institute of Metrology,Beijing 100029,China)
机构地区:[1]中国计量大学计量测试工程学院,浙江杭州310018 [2]中国计量科学研究院,北京100029
出 处:《仪表技术与传感器》2021年第2期99-103,共5页Instrument Technique and Sensor
基 金:国家重点研发计划项目(2017YFF0204901);国家质量监督检验检疫总局科技计划项目(2016QK189)。
摘 要:针对光栅莫尔信号正弦性误差对细分结果造成影响问题,对基于粒子群算法(PSO)的光栅莫尔信号正弦性误差补偿方法展开研究。在量化分析信号正弦性误差引入的细分误差的基础上,对基于PSO算法的正弦性误差补偿方法进行阐述。设计基于FPGA的补偿算法实现电路,对实现过程中的关键问题进行分析并提出解决方案。最终在FPGA电路板上对实际信号进行算法电路有效性验证,结果表明,应用该电路能有效地补偿信号正弦性误差,将信号的细分误差峰峰值由0.7″降低到0.14″。In this paper,the sinusoidal error compensation method based on particle swarm optimization(PSO)is researched for the problem of subdivision precision loss caused by sinusoidal error in grating moire signal.Based on the quantitative analysis of the subdivision error introduced by the sinusoidal error of the signal,the method of sinusoidal error compensation based on the PSO algorithm was described.An FPGA-based compensation algorithm implementation circuit was designed.The key problems in the implementation process were analyzed and solutions were proposed.Finally,the validity of the algorithm circuit was verified on the FPGA circuit board.The results show that the circuit designed in this paper can effectively compensate the sinusoidal error of the signal and reduce the peak-to-peak value of the subdivision error of the signal from 0.7″to 0.14″.
分 类 号:TH7[机械工程—仪器科学与技术]
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