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.   

Find the detailed course program on PhD Moodle: https://phd.moodle.aau.dk/course/view.php?id=2183 

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. 

Price

8000 DKK for the Industry and 6000 DKK for PhD students outside of Denmark (VAT-FREE Education)

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.
Read more here: https://phdcourses.dk/ 

Questions

hr@energy.aau.dk   

More information

https://www.energy.aau.dk/research/phd   

Course literature

• J. Rodriguez and P. Cortes, Predictive Control of Power Converters and Electrical Drives, ser. Wiley - IEEE. Wiley, 2012 
• T. Geyer, Model Predictive Control of High Power Converters and Industrial Drives. IEEE Wiley, 2016
• S. Vazquez, J. Rodriguez, M. Rivera, L. G. Franquelo, and M. Norambuena, “Model predictive control for power converters and drives: Advances and trends,” IEEE Trans. Ind. Electron., vol. 64, no. 2, pp. 935–947, Feb 2017.
• P. Karamanakos, E. Liegmann, T. Geyer and R. Kennel, "Model Predictive Control of Power Electronic Systems: Methods, Results, and Challenges," in IEEE Open Journal of Industry Applications, vol. 1, pp. 95-114, 2020, doi: 10.1109/OJIA.2020.3020184.
• A. David, K. G. Larsen, A. Legay, M. Mikucionis, and D. B. Poulsen, “Uppaal smc tutorial,” Int. J. Softw. Tools Technol. Transf., vol. 17, no. 4, pp. 397–415, Aug. 2015
• M. Novak, U. M. Nyman, T. Dragicevic, and F. Blaabjerg, “Statistical model checking for finite-set model predictive control converters: A tutorial on modeling and performance verification,” IEEE Ind. Electron. Mag., vol. 13, no. 3, pp. 6–15, 2019.