Predictive Control in an Indirect Matrix Converter
Marco Rivera, alumno de Doctorado en Ing. Electrónica DIE-UTFSM, nos presentará los detalles de los resultados de su Tesis de Grado. La charla se realizará el viernes 5 de agosto a las 12:00 hrs. en el laboratorio LCDA.
The indirect matrix converter has been the subject to investigation for some time. One of the favorable features of this converter is the absence of a dc-link capacitor, which allows for the construction of compact converters capable of operating at adverse atmospheric conditions such as extreme temperatures and pressures. These features have been explored extensively and are the main reasons why the matrix converters family has been investigated for decades. Thanks to technological advances, fast and powerful microprocessors are used for the control and modulation of power converters. To deal with the high processing power needed for these microprocessors, some research has shown the positive potential of model-based predictive control techniques
in many power electronics applications. Predictive current control can be described as a particular case of model-based predictive control which takes into account the inherent discrete nature of the switching states of the power converter and the digital implementation. Most of predictive current control methods applied in matrix converters take into consideration the output current regulation and the reactive power minimization on the input side, obtaining input currents in phase with their respective phase voltages. However, this cannot ensure that they present a sinusoidal waveform, especially when harmonic distortions in the source voltage or strong resonances on the input filter are present. This presentation shows how to overcome
this issue and enhance the quality of the source current by using predictive current control applied to an indirect matrix converter and how both source and load currents waveforms can be directly controlled.