学术报告
Model Predictive Control for Power Converters and Drives
报告题目:Model Predictive Control for Power Converters and Drives
主讲嘉宾:Marco Rivera,博士,教授,英国诺丁汉大学
邀请人:韩伟吉 副教授
时间:2024年 5月31日 (周五)10:00-11:00(北京时间)
地点:线下会场:主楼3楼,A303教室
Biography:
Prof.-Dr. Marco Rivera received the Electronic Civil Engineering degree and the M.Sc. degree in Engineering, with specialization in Electrical Engineering, from the Universidad de Concepción. Later he obtained a PhD. degree in Electronic Engineering from the Universidad Técnica Federico Santa María, and was awarded the “Premio Tesis de Doctorado Academia Chilena de Ciencias 2012”, for the best PhD Thesis developed in 2011 for national and foreign students in any exact or natural sciences program, that is member of the Academia Chilena de Ciencias, Chile. Through the last years, he has been a visiting professor at several international universities. He has directed and participated in several projects financed by the National Fund for Scientific and Technological Development (Fondo Nacional de Desarrollo Científico y Tecnológico, FONDECYT), the Chilean National Agency for Research and Development (Agencia Nacional de Investigación y Desarrollo, ANID), and the Paraguayan Program for the Development of Science and Technology (Proyecto Paraguayo para el Desarrollo de la Ciencia y Tecnología, PROCIENCIA), among others. He has been the responsible researcher of basal financed projects whose objective is to enhance, through substantial and long-term financing, Chile’s economic development through excellence and applied research.
He is the Director of the Laboratory of Energy Conversion and Power Electronics (Laboratorio de Conversión de Energías y Electrónica de Potencia, LCEEP) at Universidad de Talca, Chile. He was a full professor at the Department of Electrical Engineering at the Universidad de Talca. Since April 2023 he joined the Power Electronics, Machines and Control (PEMC) research group of the University of Nottingham as a Professor. His main research areas are power electronics, renewable energies, advanced control of power converters, microgrids, among others. He has published more than 520 academic publications in leading international conferences and journals.
Abstract
In the last decades, the application of fast modern microcontrollers has been continuously growing, allowing the development and implementation of new and more intelligent control strategies as an alternative to conventional techniques for power converters. Model Predictive Control is one of these powerful and attractive alternatives that has received much attention in recent years. The use of predictive control offers several interesting advantages: it is an intuitive control approach, does not need linear controllers and modulators, and it is possible to include nonlinearities and restrictions in the control law easily. It is expected that the advantages of predictive control will lead to industrial applications very shortly. In this presentation, new advances and trends in the application of model predictive control for power electronics and electrical drives will be presented.