TY - GEN
T1 - A predictive control approach for DC-DC power converters and cyclic switched systems
AU - Patino, D.
AU - Riedinger, P.
AU - Ruiz, F.
PY - 2010
Y1 - 2010
N2 - Classical control laws for power converters are based on the average model. Usually, they have a good performance in the transient. Nevertheless, the steady state behavior is not well-controlled (waveform, subharmonics, etc.). This article shows a predictive approach that reaches an optimal periodic cycle from a set-point of the average model. The method uses the sensitivity functions and a Newton algorithm which allows to track an optimal trajectory based on a cost function.
AB - Classical control laws for power converters are based on the average model. Usually, they have a good performance in the transient. Nevertheless, the steady state behavior is not well-controlled (waveform, subharmonics, etc.). This article shows a predictive approach that reaches an optimal periodic cycle from a set-point of the average model. The method uses the sensitivity functions and a Newton algorithm which allows to track an optimal trajectory based on a cost function.
KW - Cycle
KW - Gauss-Newton algorithm
KW - Non-linear programming
KW - Sensitivity function
UR - http://www.scopus.com/inward/record.url?scp=77954412998&partnerID=8YFLogxK
U2 - 10.1109/ICIT.2010.5472624
DO - 10.1109/ICIT.2010.5472624
M3 - Conference contribution
AN - SCOPUS:77954412998
SN - 9781424456970
T3 - Proceedings of the IEEE International Conference on Industrial Technology
SP - 1259
EP - 1264
BT - Proceedings - ICIT 2010
T2 - IEEE-ICIT 2010 International Conference on Industrial Technology, ICIT 2010
Y2 - 14 March 2010 through 17 March 2010
ER -