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Measurement error analysis and uncertainty reduction for period- and time-interval-to-digital converters based on microcontrollers

机译:基于微控制器的周期和时间间隔数字转换器的测量误差分析和不确定性降低

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摘要

This paper analyses individual error components contributing to the total error for period (or time-interval)-to-digital converters based on common microcontrollers. Two new error components are considered for measurements based on starting/stopping the timer by software: (1) the error because of the latency time between the occurrence of the interrupt request and the beginning of the interrupt machine cycle, and (2) the error due to the time delay between the beginning of the interrupt machine cycle and the start (or stop) of the time/counter. Both errors happen for any signal waveform, including rectangular signals. Solutions for their reduction are also described, such as the use of the capture module embedded in some modern microcontrollers. An advanced method to estimate the overall converter measurement error, based on Lyapunov's characteristic functions and a piece-wise linear approximation of probability distribution functions, increases the accuracy of the error estimation and reduces the uncertainty interval by 20-40percent.
机译:本文分析了基于常见微控制器的周期(或时间间隔)数字转换器的总误差中的各个误差分量。基于软件启动/停止计时器,考虑了两个新的错误组件:(1)由于发生中断请求和中断机器周期开始之间的等待时间而导致的错误;以及(2)错误由于中断机器周期的开始与时间/计数器的开始(或停止)之间存在时间延迟。对于任何信号波形,包括矩形信号,都会发生两种错误。还描述了减少它们的解决方案,例如使用某些现代微控制器中嵌入的捕获模块。基于Lyapunov的特征函数和概率分布函数的分段线性逼近,一种用于估算转换器总测量误差的高级方法可提高误差估算的准确性,并将不确定性区间降低20-40%。

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