Voltage Utilization Enhancement of Dual Inverters by Model Predictive Control for Motor Drive Applications

Huang, Zhen; Yang, Tao; Giangrande, Paolo; Galea, Michael; Garcia, Cristian; Rivera, Marco; Wheeler, Patrick; Rodriguez, Jose

doi:10.1109/PRECEDE.2019.8753341

All Outputs (4)

Sequential MPC Strategy for High Performance Induction Motor Drives: a detailed analysis (2019)
Conference Proceeding

Modulated Model Predictive Control for Induction Motor Drives with Sequential Cost Function Evaluation (2019)
Conference Proceeding

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 functi... Read More about Modulated Model Predictive Control for Induction Motor Drives with Sequential Cost Function Evaluation.

A review of model predictive control strategies for matrix converters (2019)
Journal Article

Matrix converters are a well-known class of direct AC-AC power converter topologies that can be used in applications in which compact volume and low weight are necessary. For good performance, special attention should be paid to the control scheme us... Read More about A review of model predictive control strategies for matrix converters.

Voltage Utilization Enhancement of Dual Inverters by Model Predictive Control for Motor Drive Applications (2019)
Conference Proceeding

This paper proposes a model predictive control (MPC) method to improve the voltage utilization of dual inverters compared to utilizing previously addressed techniques. The enhancement can reach up to 10% and this benefit has been through simulations... Read More about Voltage Utilization Enhancement of Dual Inverters by Model Predictive Control for Motor Drive Applications.