TY - GEN
T1 - Computationally efficient sphere decoding for long-horizon direct model predictive control
AU - Karamanakos, Petros
AU - Geyer, Tobias
AU - Mouton, Toit
AU - Kennel, Ralph
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016
Y1 - 2016
N2 - In this paper we present a computationally efficient implementation of the sphere decoder, which is employed to solve the integer least-squares (ILS) problem underlying direct model predictive control (MPC) for power electronic applications. The introduced modifications take advantage of the structure of the problem and, as a result, the required real-time operations can be reduced to a minimum. The efficacy of the developed algorithm is demonstrated with a variable speed drive system with a three-level voltage source inverter.
AB - In this paper we present a computationally efficient implementation of the sphere decoder, which is employed to solve the integer least-squares (ILS) problem underlying direct model predictive control (MPC) for power electronic applications. The introduced modifications take advantage of the structure of the problem and, as a result, the required real-time operations can be reduced to a minimum. The efficacy of the developed algorithm is demonstrated with a variable speed drive system with a three-level voltage source inverter.
UR - http://www.scopus.com/inward/record.url?scp=85015439632&partnerID=8YFLogxK
U2 - 10.1109/ECCE.2016.7854955
DO - 10.1109/ECCE.2016.7854955
M3 - Conference contribution
AN - SCOPUS:85015439632
T3 - ECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings
BT - ECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016
Y2 - 18 September 2016 through 22 September 2016
ER -