TY - GEN
T1 - Cost function-based predictive control for power converters
AU - Cortés, Patricio
AU - Rodríguez, José
AU - Vargas, René
AU - Ammann, Ulrich
PY - 2006
Y1 - 2006
N2 - This paper presents a cost function-based predictive control strategy and its application to the control of power converters and drives. Discrete-time models of the system are used to predict the behavior of the controlled variables for all the possible switching states of the converter. A cost function defines the desired behavior of the system. The switching state that minimizes this function is selected and applied during the next sampling period. Different variables of the system can be controlled by defining an appropriate cost function, depending on the objective of each specific application.
AB - This paper presents a cost function-based predictive control strategy and its application to the control of power converters and drives. Discrete-time models of the system are used to predict the behavior of the controlled variables for all the possible switching states of the converter. A cost function defines the desired behavior of the system. The switching state that minimizes this function is selected and applied during the next sampling period. Different variables of the system can be controlled by defining an appropriate cost function, depending on the objective of each specific application.
UR - http://www.scopus.com/inward/record.url?scp=50249124058&partnerID=8YFLogxK
U2 - 10.1109/IECON.2006.347996
DO - 10.1109/IECON.2006.347996
M3 - Conference contribution
AN - SCOPUS:50249124058
SN - 1424401364
SN - 9781424401369
T3 - IECON Proceedings (Industrial Electronics Conference)
SP - 2268
EP - 2273
BT - IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics
T2 - IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics
Y2 - 6 November 2006 through 10 November 2006
ER -