Využití virtuální instrumentace pro vývoj a optimalizaci řídících algoritmů aktivních výkonových filtrů.

Abstract

This Bachelor thesis focuses on the application of virtual instrumentation for development and optimization of control algorithms of shunt active power filters (SAPF). The thesis deals with classification and description of algorithms for control SAPF. The practical part of the bachelor thesis is the proposal and realization of virtual instrument (VI) for modeling of interference in electrical grid, especially devices with non-linear or variable V-A charakteristic. Using the proposed VI, adaptive algorithms from the LMS and RLS family were tested on real measured and generated signals. The settings of parameters of each adaptive algorithm were tested and their results were shown in the tables and graphs

Description

Subject(s)

Control algorithms for SAPF, Active Power Filters, adaptive filtration, adaptive algorithm Least Mean Square (LMS), adaptive algorithm Recursive Least Square (RLS), Virutal Instrument

Citation