Hardware implementation of time frequency tools for power quality applications.

摘要

This work deals with the analysis, design, and implementation of efficient algorithms for time-frequency signal analysis. We propose the design and development of an integrated hardware system for the automated processing of sensor-based signal data information generated in industrial and residential applications. A computational framework for power quality signal analysis has been developed and a hardware system has been designed.; The proposed system is divided in various modules or stages. The first module is named Front End Computing stage (FEC) which contains a Signal Conditioning System (SCS) an Analog to Digital Converter (A/D) and Digital Signal Processor (DSP). A second module named Back end Computing (BEC) is composed by an embedded computer and a user interface. The system implements Time-Frequency algorithms like the Cyclic Short Time Fourier Transform (CSTFT) and the Cyclic Ambiguity Function (CAF).; A third order dynamical system for harmonic analysis is also presented. This dynamical system is an Enhanced Phase Locked Loop (EPLL) which estimates a desired fundamental/harmonic component, tracking its amplitude, frequency and phase parameters.