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FPGA implementation of online finite-set model based predictive control for power electronics

Steven Thielemans UGent, Thomas Vyncke UGent, Michiel Jacxsens UGent and Jan Melkebeek UGent (2011) Predictive Control of Electrical Drives and Power Electronics, Workshop proceedings. p.63-69
abstract
Recently there has been an increase in the use of model based predictive control (MBPC) for power-electronic converters. MBPC allows fast and accurate control of multiple controlled variables for hybrid systems such as a power electronic converter and its load. The computational burden for this control scheme however is very high and often restrictive for a good implementation. This means that a suitable technology and design approach should be used. In this paper the implementation of finite-set MBPC (FS-MBPC) in field-programmable gate arrays (FPGAs) is discussed. The control is fully implemented in programmable digital logic by using a high-level design tool. This allows to obtain very good performances (both in control quality, speed and hardware utilization) and have a flexible, modular control configuration. The feasibility and performance of the FPGA implementation of FS-MBPC is discussed in this paper for a 4-level flying-capacitor converter (FCC). This is an interesting application as FS-MBPC allows the simultaneous control of the output current and the capacitor voltages, yet the high number of possible switch states results in a high computational load. The good performance is obtained by exploiting the FPGA’s strong points: parallelism and pipe-lining. In the application discussed in this paper the parallel processing for the three converter phases and a fully pipelined calculation of the prediction stage allow to realize an area-time efficient implementation.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
unpublished
subject
keyword
MBPC, flying-capacitor inverters, programmable digital hardware, predictive control, FPGA implementation
in
Predictive Control of Electrical Drives and Power Electronics, Workshop proceedings
pages
63 - 69
publisher
IEEE
place of publication
New York, NY, USA
conference name
Workshop on Predictive Control of Electrical Drives and Power Electronics (PRECEDE 2011)
conference location
Munich, Germany
conference start
2011-10-14
conference end
2011-10-15
Web of Science type
Conference Paper
Web of Science id
12377301
ISBN
9781457719127
DOI
10.1109/PRECEDE.2011.6079085
language
English
UGent publication?
yes
classification
C1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1937906
handle
http://hdl.handle.net/1854/LU-1937906
date created
2011-10-28 14:09:27
date last changed
2012-03-29 10:27:23
@inproceedings{1937906,
  abstract     = {Recently there has been an increase in the use of model based predictive control (MBPC) for power-electronic converters. MBPC allows fast and accurate control of multiple controlled variables for hybrid systems such as a power electronic converter and its load. The computational burden for this control scheme however is very high and often restrictive for a good implementation. This means that a suitable technology and design approach should be used.
In this paper the implementation of finite-set MBPC (FS-MBPC) in field-programmable gate arrays (FPGAs) is discussed. The control is fully implemented in programmable digital logic by using a high-level design tool. This allows to obtain very good performances (both in control quality, speed and hardware utilization) and have a flexible, modular control configuration. The feasibility and performance of the FPGA implementation of FS-MBPC is discussed in this paper for a 4-level flying-capacitor converter (FCC). This is an interesting application as FS-MBPC allows the simultaneous control of the output current and the capacitor voltages, yet the high number of possible switch states results in a high computational load. The good performance is obtained by exploiting the FPGA{\textquoteright}s strong points: parallelism and pipe-lining. In the application discussed in this paper the parallel processing for the three converter phases and a fully pipelined calculation of the prediction stage allow to realize an area-time efficient implementation.},
  author       = {Thielemans, Steven and Vyncke, Thomas and Jacxsens, Michiel and Melkebeek, Jan},
  booktitle    = {Predictive Control of Electrical Drives and Power Electronics, Workshop proceedings},
  isbn         = {9781457719127},
  keyword      = {MBPC,flying-capacitor inverters,programmable digital hardware,predictive control,FPGA implementation},
  language     = {eng},
  location     = {Munich, Germany},
  pages        = {63--69},
  publisher    = {IEEE},
  title        = {FPGA implementation of online finite-set model based predictive control for power electronics},
  url          = {http://dx.doi.org/10.1109/PRECEDE.2011.6079085},
  year         = {2011},
}

Chicago
Thielemans, Steven, Thomas Vyncke, Michiel Jacxsens, and Jan Melkebeek. 2011. “FPGA Implementation of Online Finite-set Model Based Predictive Control for Power Electronics.” In Predictive Control of Electrical Drives and Power Electronics, Workshop Proceedings, 63–69. New York, NY, USA: IEEE.
APA
Thielemans, S., Vyncke, T., Jacxsens, M., & Melkebeek, J. (2011). FPGA implementation of online finite-set model based predictive control for power electronics. Predictive Control of Electrical Drives and Power Electronics, Workshop proceedings (pp. 63–69). Presented at the Workshop on Predictive Control of Electrical Drives and Power Electronics (PRECEDE 2011), New York, NY, USA: IEEE.
Vancouver
1.
Thielemans S, Vyncke T, Jacxsens M, Melkebeek J. FPGA implementation of online finite-set model based predictive control for power electronics. Predictive Control of Electrical Drives and Power Electronics, Workshop proceedings. New York, NY, USA: IEEE; 2011. p. 63–9.
MLA
Thielemans, Steven, Thomas Vyncke, Michiel Jacxsens, et al. “FPGA Implementation of Online Finite-set Model Based Predictive Control for Power Electronics.” Predictive Control of Electrical Drives and Power Electronics, Workshop Proceedings. New York, NY, USA: IEEE, 2011. 63–69. Print.