TY - GEN
T1 - Reduced switching frequency operation of power converters using virtual model based MPC
AU - Perez, Marcelo A.
AU - Garcia, Cristian
N1 - Funding Information:
The authors acknowledge the support provided by Universidad Tecnica Federico Santa Maria and the Advanced Center for Electrical and Electronic Engineering (AC3E). The work of C. Garcia was supported by CONICYT under grant "Doctorado Nacional 2013" (21130140).
PY - 2016/1/29
Y1 - 2016/1/29
N2 - Model predictive control has several advantages for power converter applications such as a simple theoretical concept, a straightforward implementation and a high dynamical response regardless the high switching frequency it generates which is one of its main drawbacks. In this paper a virtual first order filter is modeled in the predictive algorithm and its output is included into the cost function in order to modify the switching states selection and reduce the switching frequency. The proposed algorithm generates a reduction of the average switching frequency but it does not deteriorate the dynamical response of predictive control. Additionally, it has a simple implementation because it does not require frequency transformations, the virtual filter can be easily designed and the algorithm does not require additional memory to save the switching pattern to count the commutations. Results that confirm the performance of the proposed algorithm are given.
AB - Model predictive control has several advantages for power converter applications such as a simple theoretical concept, a straightforward implementation and a high dynamical response regardless the high switching frequency it generates which is one of its main drawbacks. In this paper a virtual first order filter is modeled in the predictive algorithm and its output is included into the cost function in order to modify the switching states selection and reduce the switching frequency. The proposed algorithm generates a reduction of the average switching frequency but it does not deteriorate the dynamical response of predictive control. Additionally, it has a simple implementation because it does not require frequency transformations, the virtual filter can be easily designed and the algorithm does not require additional memory to save the switching pattern to count the commutations. Results that confirm the performance of the proposed algorithm are given.
UR - http://www.scopus.com/inward/record.url?scp=84964867853&partnerID=8YFLogxK
U2 - 10.1109/PRECEDE.2015.7395508
DO - 10.1109/PRECEDE.2015.7395508
M3 - Conference contribution
AN - SCOPUS:84964867853
T3 - Proceedings - 2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015
SP - 27
EP - 31
BT - Proceedings - 2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2015
Y2 - 5 October 2015 through 6 October 2015
ER -