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Course unit, curriculum year 2024–2025
EE.PEE.330
Model Predictive Control of Power Electronic Systems, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 1 (1.8.2024–20.10.2024)
Active in period 2 (21.10.2024–31.12.2024)
Course code
EE.PEE.330Language of instruction
EnglishAcademic years
2024–2025, 2025–2026, 2026–2027Level of study
Advanced studiesGrading scale
General scale, 0-5Persons responsible
Responsible teacher:
Petros KaramanakosResponsible organisation
Faculty of Information Technology and Communication Sciences 100 %
Coordinating organisation
Electrical Engineering Studies 100 %
Core content
- Modeling of power electronic systems (derivation of state-space models)
- Direct MPC with reference tracking-short horizons (formulation of the current control problem)
- Mathematical programming (enumeration technique to solve the short-horizon problem)
- Delays and their compensation
- Applications to drive systems consisting of a three-level neutral point clamped (NPC) inverter and an induction machine, inverters with LC filters
Complementary knowledge
- Direct MPC with reference tracking (long horizons)
- Branch-and-bound optimization techniques
- Model predictive direct torque control (MPDTC)
- Derivatives of MPDTC (e.g., Model predictive direct current control-MPDCC)
Specialist knowledge
- Optimized pulse patterns (OPPs)
- Fast control of OPPs
- Model predictive pulse pattern control (MP3C)
- Indirect MPC for modular multilevel converters
Learning outcomes
Prerequisites
Recommended prerequisites
Further information
Studies that include this course
Completion option 1
Final written exam; homework helps to pass the course
Completion of all options is required.
Participation in teaching
26.08.2024 – 08.12.2024
Active in period 1 (1.8.2024–20.10.2024)
Active in period 2 (21.10.2024–31.12.2024)
Exam
No scheduled teaching