TY - GEN
T1 - Model predictive control with secondary objective functions for power module loss reduction
AU - Wang, Luocheng
AU - Han, Tao
AU - Zhao, Tiefu
AU - He, Jiangbiao
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - This paper presents a finite control set model predictive control (FCS-MPC) method to reduce the power module loss while meeting the converter performance requirements. Many modulation-level and system-level loss reduction strategies are proposed by either changing the switching frequency or adjusting the reactive power. However, increased control loops and complicated modulation schemes restrict the system performance and implementation. With the features of model predictive control, FCS-MPC has the capability to achieve several control targets by simultaneously optimizing multiple objective functions. In the proposed FCS-MPC, a secondary objective function is defined to reduce the power loss of semiconductor devices and relieve the thermal stress for power modules. This control mechanism provides the system with not only the straightforward effectiveness, but also maintaining the converter performance requirements. The proposed FCS-MPC is validated in the simulations and experiments. A 2.5-kW PWM rectifier prototype is developed to demonstrate the proposed control method.
AB - This paper presents a finite control set model predictive control (FCS-MPC) method to reduce the power module loss while meeting the converter performance requirements. Many modulation-level and system-level loss reduction strategies are proposed by either changing the switching frequency or adjusting the reactive power. However, increased control loops and complicated modulation schemes restrict the system performance and implementation. With the features of model predictive control, FCS-MPC has the capability to achieve several control targets by simultaneously optimizing multiple objective functions. In the proposed FCS-MPC, a secondary objective function is defined to reduce the power loss of semiconductor devices and relieve the thermal stress for power modules. This control mechanism provides the system with not only the straightforward effectiveness, but also maintaining the converter performance requirements. The proposed FCS-MPC is validated in the simulations and experiments. A 2.5-kW PWM rectifier prototype is developed to demonstrate the proposed control method.
KW - Junction temperature estimation
KW - Model predictive control
KW - Power loading
KW - Power loss reduction
KW - Thermal management
UR - http://www.scopus.com/inward/record.url?scp=85076741180&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85076741180&partnerID=8YFLogxK
U2 - 10.1109/ECCE.2019.8913076
DO - 10.1109/ECCE.2019.8913076
M3 - Conference contribution
AN - SCOPUS:85076741180
T3 - 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019
SP - 225
EP - 231
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 -