Emerging Trends in Model Predictive Control for Power Electronics

Date: 17/10/2024
Time: 10:00 am
Presenter: Sergio Toledo
Abstract: In recent decades, the use of modern, fast microcontrollers has increased, allowing the development and implementation of new and more intelligent control strategies as alternatives to conventional techniques for power converters. Model Predictive Control is one of these powerful and attractive alternatives that has received a lot of attention in recent years. The use of predictive control offers several interesting advantages: it is an intuitive control approach, it does not require linear controllers or modulators, and it allows easy inclusion of nonlinearities and constraints in the control law. The advantages of predictive control are expected to lead to industrial applications in the near future. This webinar will present new advances and trends in the application of Model Predictive Control to power electronics.

Please note: This webinar will be presented in Spanish.
Sergio Toledo
Electronic Engineer graduated [Hons] from the Faculty of Engineering at the Universidad Nacional de Asunción (FIUNA), Paraguay. He received a master’s degree in Electronics with an emphasis in Instrumentation and Control from the Center for Scientific Research and Higher Education of Ensenada (CICESE), Mexico. He holds a Ph.D. in Engineering Systems from the University of Talca, Chile. He is also an affiliated researcher at the Department of Electronic and Mechatronic Engineering of FIUNA and a Categorized Researcher of the National Council of Science and Technology (CONACYT) of Paraguay. His main research interests are predictive control, matrix converters and power converter control.