This thesis aims to propose a simple way to develop a low-cost and high-efficiency frequency estimation system for power signal. Arduino DAQ is utilized to extract the power signal and then perform the analysis by using a virtual-instrument software, LabVIEW.
First , the analysis is performed by using Fourier algorithm as a digital filter to fetch the fundamental signal of the acquired signals, and then a zero crossing algorithm technology is applied to sine or cosine signal of the fundamental signal to calculate the frequency of the fundamental signal. The RMS algorithm is also implemented to monitor the voltage variation of the power signal so as to monitor the power quality.
LabVIEW is implemented to simulat a signal source with high-order harmonics and noise signal combined together, and the program can be used to estimate the frequency of fundamental sinusoidal signals with high accuracy. Experiments show Arduino can be utilized to complete the task of the data acquisition.
