Error of conversion of "physical quantity-to-frequency" converter output signal

Simulation of an Adaptive Method of Improving the Accuracy and Extending the Range of Frequency Signal Processing in a Frequency-to-Code Converter

“…In the present system, the reading of the counter status is controlled by a microprocessor. The system measures the frequency by determining the duration of a single period T xi [14]. The block diagram of the system operating according to the proposed method is presented in Figure 1.…”

“…The accuracy of the direct conversion of the frequency signal periods into numerical values in the frequency-to-code converter is mainly limited by two components: the quantization error and the averaging error, which are described in [14].…”

“…An example of the quantization error curve is shown in Figure 3. The averaging error arises as a result of the integral action of the input quantity by the physical-quantity-to-frequency converter [14]. It was assumed that the test input signal x(t) has a sinusoidal shape, the amplitude and the constant component of which are equal to each other, and the variability range is between −X m and +X m .…”

“…It was assumed that the test input signal x(t) has a sinusoidal shape, the amplitude and the constant component of which are equal to each other, and the variability range is between −X m and +X m . Taking the above into account, the relative error of averaging is calculated from the dependence [14]:…”

“…Company devices for continuous frequency measurement have been known for years [9]. However, one can still encounter research on new methods of frequency signal processing [10], reducing errors in frequency signal processing [11,12], or the estimation of processing accuracy [13,14].…”