Test-Driven Design: Digital Control of Grid-Tied Converters

Promo video - Final Version


The power electronics field has matured over the last sixty years. Today, static converters can efficiently transform electric energy to meet the requirements of many applications and are the enabling technology for the integration of renewable generation into the electric grid. So power electronics will play a key role in the renovation of the existing electric network. 


Webinar agenda:

  • Introduction of the course: "Digital Control of Grid Tied Converters
  • Overview and history of Test-Driven Design approach
  • Overview of modules
  • Q&A

Systems operators frequently update grid codes to ensure power quality and grid security. Consequently, power converter manufacturer have to design reliable products with reduced time-to-market in a competitive environment.

To address these challenges, the development teams of GEPOC-UFSM and Typhoon HIL have joined efforts to demonstrate the potential of test-driven design. This unique approach  will use real-time simulation to demonstrate the performance of controllers under various operating conditions.



hUMBERTHumberto Pinheiro, Professor



fernandaFernanda Carnielutti, Professor




jorgeJorge Rodrigo MassingAdjunct Professor




padilhaRodrigo Padilha Vieira, Researcher at Power Electronics and Control Research Group - GEPOC




henriqueHenrique Magnago, PhD student at UFSM and

Power Electronics Engineer at Typhoon HIL





UFSM GEPOC  -  In Power Electronics , we highlight the study and development of new topologies of static converters (rectifiers, inverters and DC-DC converters) for applications ranging from AC power sources to the connection of renewable energy sources (especially hydropower, solar photovoltaic and wind power). In addition, design techniques are also developed to optimize converters with respect to volume, yield and / or cost. Regarding the research in Process Control, GEPOC develops control techniques focused on the application in Power Electronics, especially in plants with parametric variations or partially known models. Among the techniques researched, we highlight robust control, adaptive control, control by reference model, control by sliding modes, among others.