Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

227-0696-00L  Predictive Control of Power Electronics Systems

SemesterSpring Semester 2016
LecturersT. Geyer
Periodicityyearly recurring course
Language of instructionEnglish

AbstractBridging the gap between modern control methods and power electronics, this course focuses on the most commonly used predictive control methods applied to power electronics systems. This includes emerging model predictive control methods both without and with a modulator, as well as more traditionally used predictive methods, such as time-optimal control and deadbeat control.
Objective- Knowledge of modern time-domain control methods applied to dc-dc and dc-ac converters and their corresponding loads (such as three-phase machines or the grid). These control methods include MPC, LQR, deadbeat and time-optimal control.
- Understanding of optimized pulse patterns and techniques to achieve fast closed-loop control.
- Derivation of suitable mathematical models of power electronics systems based on which controllers can be designed.
- Optimization techniques to solve the mixed-integer and quadratic programs underlying MPC.
- Matlab / Simulink exercises are used to further the understanding of the control concepts.
Content- Review of mathematical modelling and time-domain control methods (LQR, MPC, deadbeat control).
- Time-optimal control, deadbeat control and MPC of dc-dc converters.
- Direct MPC with reference tracking (finite control set MPC). Derivation of mathematical models of three-phase power electronics systems, formulation of the control problem, techniques to solve the one-step and the multi-step horizon problems using branch and bound techniques.
- MPC with optimized pulse patterns (OPPs). Computation of OPPs offline, formulation of fast closed-loop controllers and methods to solve the underlying quadratic programming problem.
- MPC with pulse width modulation (PWM). Review of deadbeat control methods. Formulation of the MPC problem, imposition of hard and soft constraints, techniques to solve the quadratic program in real time and application to modular multi-level converters.
- Summary of recent research results and activities.
Lecture notesThe lecture will be largely based on the recent book Model Predictive Control of High Power Converters and Industrial Drives by the lecturer. Additional notes and related literature will be distributed in the class.
Prerequisites / Notice- Signal and system theory II
- Power electronic systems I
- Control systems (Regelsysteme)