Webinar Contents

Part I: Computer Interface and Instrumentation Electronics, Analog-Based Instrumentation Systems, Sensors and Transducers, Electronic Instruments for Electrical Engineering, Signal Simulators and Emulators, Instrumentation and Monitoring for Distributed Generation Systems, Instruments for Data Acquisition, Software for Electric Power Instrumentation.

Part II: sensing and conditioning circuits, digital controllers for power electronics, methods of designing digital controller, discretization methods, digital filters, delay of digital control, DSP, programming through simulation software, examples of digital controllers for a grid-connected inverter.

Dr. Tiago Davi Curi Busarello Headshot

Prof. Dr. Tiago Davi Curi Busarello

Professor, Federal University of Santa Catarina (UFSC)

Tiago Davi Curi Busarello is a professor at Federal University of Santa Catarina (UFSC) – Campus Blumenau. He obtained the PhD in Electrical Engineering at the University of Campinas (UNICAMP). He obtained the Master degree from the UNICAMP and the bachelor degree from the Santa Catarina State University. He was a visitor researcher in the Center for Advanced Control of Energy and Power Systems, located at the university Colorado School of Mines. He is a member of the IEEE (Institute of Electrical and Electronics Engineers). Areas of interest: Power Electronics and Smart Grids.

Marcelo Godoy Simoes Headshot

Prof. Dr. Marcelo Godoy Simões

IEEE Fellow

Marcelo Godoy Simões is IEEE Fellow, with the citation: “for applications of artificial intelligence in control of power electronics systems.” He was an US Fulbright Fellow for AY 2014-15, working for Aalborg University, Institute of Energy Technology (Denmark). He used to worked at Colorado School of Mines from 2000 to 2020. He is currently with the University of Denver (DU). Dr. Simões is a pioneer to apply neural networks and fuzzy logic in power electronics, motor drives and renewable energy systems. His fuzzy logic based modeling and control for wind turbine optimization is used as a basis for advanced wind turbine control and it has been cited worldwide. His leadership in modeling fuel cells is internationally and highly influential in providing a basis for further developments in fuel cell automation control in many engineering applications. Prof. Simões made substantial and lasting contribution of artificial intelligence technology in many applications, power electronics and motor drives, fuzzy control of wind generation system, such as Fuzzy Logic based waveform estimation for power quality, Neural Network based estimation for vector-controlled motor drives and integration of alternative energy systems to the electric grid through AI modeling based power electronics control. His scientific expertise intersect the areas of power electronics, power systems, power quality, smart-grid and renewable energy systems.