Tutorial Title: Model Predictive Control: Basic concepts, Applications, Advances and Challenges.

Abstract: Model Predictive Control (MPC) emerged years 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, most of these disadvantages has been resolved. This tutorial aims to introduce the audience to MPC and show them its evolution and applications. MPC will applied in the control of a variety of converters, including active rectifiers, matrix converters and ac drives. Special attention will be given to use of MPC in multilevel inverters using few calculations and how to avoid the use of weighting factors. The presentation will also present the evaluation to be used in electric vehicles. Finally, this tutorial will discuss the challenges that MPC must overcome to be adopted by the industry.