DEE-34406 Model Predictive Control of Power Electronic Systems, 5 cr

Implementation DEE-34406 2019-01

Description

The objective of the course is to bridge the gap between modern control methods and power electronics systems, and to provide an understanding of model predictive control (MPC) methods for power electronics systems. This includes MPC methods both without and with a modulator. An emphasis is put on computational methods to solve the underlying (integer) optimization problems. Exercises based on industrial power electronics systems are used to consolidate the presented control theoretic concepts and to assist the learning process. Matlab/Simulink simulations further improve the understanding of the control methods, their benefits and intrinsic challenges.

Lessons

Assessment scale

Numerical evaluation scale (0-5)

Requirements

Final written exam; homework helps to pass the course