Description: After introduction of fast processing digital signal processors Model Predictive Control (MPC) has emerged as one of the most promising control alternative for power electronics converter control. The advantages of MPC algorithms over traditional cascade control structure lie in fast transient response and simple inclusion of multiple control objectives in a single control loop. However, there also remain challenges in implementation of MPC algorithms in power electronics converter applications. Although some variants of MPC algorithm have found application in industrial products, further research is required to achieve a much wider application.
In this course basic principles of MPC will be explained, thus the course is suitable for participants without prior knowledge about MPC applications. The focus will be on two most popular MPC algorithms in power electronics applications: finite control set (FS-MPC) and continuous control set (CS-MPC). Afterwards the emphasis will be put on specific challenges in algorithm implementation e.g. weighting factor tunning, computational burden, fixing the switching frequency, performance verification using statistical model checking. Several applications of MPC algorithm applications will be analyzed e.g. grid-connected converters, multilevel converters, motor drives, UPS converters. The course will be accompanied by hands-on Simulation exercises where the participants can apply the learned methods and understand the principles of algorithm implementation.
Day 1: Lecturers: Mateja Novak (7 hours)
- Basic concepts of MPC for power electronics converters, design, and implementation challenges (5 hours)
- Hands-on exercises by Mateja Novak (2 hours)
Day 2: Lecturers: Mateja Novak (4 hours), Ulrik Nyman (5 hours)
- Application-specified MPC methods (2 hours)
- Performance verification by statistical model checking (3 hours)
- Hands-on exercises (2 hours)
Prerequisites:
- Fundamentals of power electronics
- Experience with MATLAB/Simulink is recommended for the exercises
Form of evaluation: Students are required to solve exercises using the knowledge acquired in the course and submit a short project report with solutions within three weeks after the course, which will be assessed by the lecturers.
Postdoc Mateja Novak, nov@energy.aau.dk
Lecturers: Postdoc Mateja Novak – Aalborg University and Associate Professor Ulrik Nyman – Aalborg University
ECTS: 2
Date/Time: 5th – 6th October 2023
Deadline: 14 September 2023
Price: 6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT
The Danish universities have entered into an agreement that allows PhD students at a Danish university (except Copenhagen Business School) the opportunity to free of charge take a subject-specific course at another Danish university. Guests at AAU Energy can free attend the course.
Payment: A Online link will be annonced after deadline for registration
Place: AAU Energy, Aalborg
Max no. of participants: 30
- Teacher: Frede Blaabjerg
- Teacher: Mateja Novak
- Teacher: Ulrik Nyman