Keynote - Model Predictive Control: Latest Advances and Challenges

Session 7.1 - Keynote -Model Predictive Control: Latest Advances and Challenges

Dr Marco Rivera

Model Predictive Control (MPC) emerged few decades ago as an attractive control strategy for power electronics systems. Main advantages of MPC are the simple concept, the capability to include easily different control objectives and the high dynamic performance. On the contrary, like any new strategy, it also has disadvantages such as dependence on the mathematical model, dependence on the parameters and a variable frequency spectrum. However, thanks to the work carried out by the scientific community, each of these disadvantages are being resolved. This talk aims to introduce the audience to MPC and show them its evolution and applications. It is for this reason that this tutorial is organized into three main sections: i) provide the basic concepts of MPC operation; ii) show the main MPC applications in drives, multilevel inverters and grid connection; iii) Finally, the objective is to show the audience the most relevant trends of MPC. 

Prof. José Rodríguez Pérez, Professor of Electrical Engineering, Universidad San Sebastian, Chile