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Model Predictive Control for Medium-Voltage Drives

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Abstract:
Model predictive control (MPC) is rapidly emerging as a new methodology to achieve high-performance closed-loop control of ac drives. By combining the inner current control loop with the modulation stage, the gating signals can be directly generated by MPC in one computational stage. MPC computes switching patterns that simultaneously reduce the inverter’s switching losses and the current and torque distortions. At the same time, the drive’s controlled variables, which are either the currents or the torque and stator flux, are kept around their references or within specified bounds.
This talk provides an introduction to MPC for ac drives and a review of the different emerging methods. It is shown how the related computational challenges, which are due to the combinatorial explosion of the number of admissible switching sequences, can be addressed. As a result, at low switching frequencies, the resulting steady-state behaviour is similar to the one obtained with optimized pulse patterns. During transients, however, very fast current and torque response times are achieved, similar to deadbeat control. Simulations and selected experimental results will be presented to illustrate these performance characteristics, using three- and five-level medium-voltage drives with induction machines as illustrative examples.

Type of Seminar:
IfA Seminar
Speaker:
Dr Tobias Geyer
Date/Time:
May 16, 2011   10:30
Location:

ETZ E81
Contact Person:

S. Mariéthoz
File Download:

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Biographical Sketch:
Tobias Geyer received his Dipl-Ing and PhD degrees in Electrical Engineering from ETH Zurich, Switzerland, in 2000 and 2005, respectively. From 2006 to 2008, he was with General Electric’s corporate research centre in Munich, Germany, where he was a project leader with a focus on control schemes for medium-voltage electrical drives. In late 2008 he joined the University of Auckland, New Zealand, where he is currently a senior research fellow. His research interests are at the intersection of control theory, mathematical optimization and power electronics, including model predictive control and electrical drives. Tobias is a recipient of the second prize paper award of the 2008 IAS annual meeting and a senior member of the IEEE.