As the smart grid evolves, it requires increasing distributed intelligence, optimization and
control. Model predictive control (MPC) facilitates these functionalities for smart grid …

Recently, the control of multiphase electric drives has been a hot research topic due to the
advantages of multiphase machines, namely the reduced phase ratings, improved fault …

This article presents a real-time realization of a continuous-control-set model predictive
current controller for the two types of permanent magnet synchronous machines: 1) surface …

Simulation studies of three synchronous reluctance motor (SynRM) control strategies are
presented: field-oriented control (FOC), direct torque control (DTC), and finite-set model …

The continuously fluctuating energy output and varying power demands in the renewable
energy systems have led to the degradation of power quality. This work presents a model …

A Luenberger disturbance observer based control scheme for surface mounted permanent
magnet synchronous motor (SPMSM) is proposed in this paper. First, an extended SPMSM …

Conventional model predictive current control (MPCC) has superiorities on simple control
structure, fast dynamic response time, and easy implementation. However, MPCC applied to …

Model predictive control (MPC) of power electronic converters has obtained much attention
in many applications and especially in electric motor control. As the control loop is closed by …

The open-winding permanent magnet synchronous machines (OW-PMSMs) have recently
been gaining more attention because of their fault-tolerant capability and power quality …

Multiphase machines, associated with state-of-the-art control strategies like finite control set
model predictive control (FCS-MPC) are suitable for applications where reliability and …