Open University

Tampere

Model Predictive Control of Power Electronic Systems, Lectures

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<h5>Core content</h5><ul><li>Modeling of power electronic systems (derivation of state-space models)</li><li>Direct MPC with reference tracking-short horizons (formulation of the current control problem)</li><li>Mathematical programming (enumeration technique to solve the short-horizon problem)</li><li>Delays and their compensation</li><li>Applications to drive systems consisting of a three-level neutral point clamped (NPC) inverter and an induction machine, inverters with LC filters</li></ul><h5>Complementary knowledge</h5><ul><li>Direct MPC with reference tracking (long horizons)</li><li>Branch-and-bound optimization techniques</li><li>Model predictive direct torque control (MPDTC)</li><li>Derivatives of MPDTC (e.g., Model predictive direct current control-MPDCC)</li></ul><h5>Specialist knowledge</h5><ul><li>Optimized pulse patterns (OPPs)</li><li>Fast control of OPPs</li><li>Model predictive pulse pattern control (MP3C)</li><li>Indirect MPC for modular multilevel converters</li></ul>

<h2>Common</h2><h3>Exercise: </h3><p>11.09.2023 16:00 - 18:00, TAU S&#228;hk&#246;talo SF213A tietokoneluokka (11)<br>18.09.2023 16:00 - 18:00, TAU S&#228;hk&#246;talo SF213A tietokoneluokka (11)<br>25.09.2023 16:00 - 18:00, TAU S&#228;hk&#246;talo SF213A tietokoneluokka (11)<br>02.10.2023 16:00 - 18:00, TAU S&#228;hk&#246;talo SF213A tietokoneluokka (11)<br>09.10.2023 16:00 - 18:00, TAU S&#228;hk&#246;talo SF213A tietokoneluokka (11)<br>23.10.2023 16:00 - 18:00, TAU S&#228;hk&#246;talo SF213A tietokoneluokka (11)<br>06.11.2023 16:00 - 18:00, TAU S&#228;hk&#246;talo SF213A tietokoneluokka (11)<br>13.11.2023 16:00 - 18:00, TAU S&#228;hk&#246;talo SF213A tietokoneluokka (11)<br>20.11.2023 16:00 - 18:00, TAU S&#228;hk&#246;talo SF213A tietokoneluokka (11)<br>27.11.2023 16:00 - 18:00, TAU S&#228;hk&#246;talo SF213A tietokoneluokka (11)<br>04.12.2023 16:00 - 18:00, TAU S&#228;hk&#246;talo SF213A tietokoneluokka (11)<br></p><h3>Lecture: </h3><p>31.08.2023 14:00 - 16:00, TAU Rakennustalo RH201 opetustila (50)<br>07.09.2023 14:00 - 16:00, TAU Rakennustalo RH201 opetustila (50)<br>14.09.2023 14:00 - 16:00, TAU Rakennustalo RH201 opetustila (50)<br>21.09.2023 14:00 - 16:00, TAU Rakennustalo RH201 opetustila (50)<br>28.09.2023 14:00 - 16:00, TAU Rakennustalo RH201 opetustila (50)<br>05.10.2023 14:00 - 16:00, TAU Rakennustalo RH201 opetustila (50)<br>12.10.2023 14:00 - 16:00, TAU Rakennustalo RH201 opetustila (50)<br>26.10.2023 14:00 - 16:00, TAU Rakennustalo RH201 opetustila (50)<br>09.11.2023 14:00 - 16:00, TAU Rakennustalo RH201 opetustila (50)<br>16.11.2023 14:00 - 16:00, TAU Rakennustalo RH201 opetustila (50)<br>30.11.2023 14:00 - 16:00, TAU Rakennustalo RH201 opetustila (50)<br></p>

The concept of averaging is commonly applied to power electronics systems to conceal the switching aspect from the control problem. This enables the use of linear control loops, but also limits the achievable performance during transients. To achieve the highest possible performance for power converters, averaging is to be avoided and the traditionally used current control loop and modulator should be replaced by one single control entity. To this end, model predictive control (MPC) is particularly promising, since it can address switched nonlinear systems, constraints, and systems with multiple inputs and outputs.<br><br>This course reviews MPC methods that fully exploit the performance potential of power converters, by ensuring fast control during transients and low harmonic distortions during steady-state operation. Such MPC methods are particularly suitable when operating at low pulse numbers (medium-voltage power electronics and traction converters) or when considering complicated systems such as converter systems with filters and modular multi-level converters.<br><br>The objective of the course is to bridge the gap between modern control methods and power electronics systems, and to provide an understanding of 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.

<h2>Prerequisites</h2>* Control systems (such as ASE-1251 J&#228;rjestelmien ohjaus or ASE-1258 Introduction to Control, and ASE-2110 Systeemit ja s&#228;&#228;t&#246; or ASE-2116 Systems and Control)<br>* Power electronic systems (modeling and analysis) (DEE-33010 S&#228;hk&#246;koneet and DEE-33030 S&#228;hk&#246;moottorik&#228;yt&#246;t) <br>* Matlab&#160; (Important)<br><h5>Prerequisite</h5><ul><li>Code:&#160;DEE-33116</li><li>Name:&#160;Power Electronics Converters</li><li>ECTS credits:&#160;5</li><li>Mandatory:&#160;Advisable</li></ul><h2>Recommended Prerequisites</h2><ul><li>Power Electronics I, EE.PEE.210, 5 cr</li></ul>

Model Predictive Control of Power Electronic Systems, Lectures

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Model Predictive Control of Power Electronic Systems, Lectures