TY - GEN
T1 - Modulated Model Predictive Control for Induction Motor Drives with Sequential Cost Function Evaluation
AU - Vodola, Valerio
AU - Odhano, Shafiq
AU - Garcia, Cristian
AU - Norambuena, Margarita
AU - Vaschetto, Silvio
AU - Zanchetta, Pericle
AU - Rodriguez, Jose
AU - Bojoi, Radu
PY - 2019/9
Y1 - 2019/9
N2 - Sequential model predictive control is a recent innovation in the high-performance control of electric drives. The elimination of weighting factors and associated tuning work is among the biggest advantages of this MPC implementation. The cost function evaluation takes place in two steps with each step narrowing down the choice of optimal voltage vector to be applied at the next switching instant. Like the conventional finite control states MPC, the sequential MPC also has a disadvantage of variable switching frequency. In this paper, this problem is addressed by considering the sequential MPC implementation with a modulator. After two-step cost function evaluation, the optimal and second optimal voltage vectors' duty cycles are computed based on the slope of the controlled variables. This preserves the optimality of the solution while, at the same time, guaranteeing constant switching frequency and reduced current and torque ripples in the drive response.
AB - Sequential model predictive control is a recent innovation in the high-performance control of electric drives. The elimination of weighting factors and associated tuning work is among the biggest advantages of this MPC implementation. The cost function evaluation takes place in two steps with each step narrowing down the choice of optimal voltage vector to be applied at the next switching instant. Like the conventional finite control states MPC, the sequential MPC also has a disadvantage of variable switching frequency. In this paper, this problem is addressed by considering the sequential MPC implementation with a modulator. After two-step cost function evaluation, the optimal and second optimal voltage vectors' duty cycles are computed based on the slope of the controlled variables. This preserves the optimality of the solution while, at the same time, guaranteeing constant switching frequency and reduced current and torque ripples in the drive response.
KW - Model predictive control
KW - Predictive torque control
KW - Variable speed drives
UR - http://www.scopus.com/inward/record.url?scp=85076793982&partnerID=8YFLogxK
U2 - 10.1109/ECCE.2019.8911870
DO - 10.1109/ECCE.2019.8911870
M3 - Conference contribution
T3 - 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019
SP - 4911
EP - 4917
BT - 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019
Y2 - 29 September 2019 through 3 October 2019
ER -