Permanent magnet synchronous motors (PMSMs) have been widely employed in the
industry. Finite-control-set model predictive control (FCS-MPC), as an advanced control …

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

The current error is hard to avoid for finite control set model predictive current control (FCS-
MPCC) in nine-phase open-end winding permanent magnet synchronous motors. To …

The performance of model predictive control has a strong correlation to the precision of the
physical parameters of the plant, and these parameters are hard to determine since they are …

This article presents a model-free predictive current control (MFPCC) method for dual three-
phase permanent magnet synchronous machines with an optimal modulation pattern. First …

There is a trend to use artificial neural networks (ANNs) as approximation models to
implement explicit model-predictive control (EMPC) on hardware. However, the vanilla ANN …

The output torque capability of a dual-three-phase permanent magnet synchronous machine
(DTP-PMSM) can be increased by intentionally injecting proper harmonic currents, which …

The focus of this article is to introduce the concept of an online reinforcement learning (RL)
solution and to propose a novel finite control-set model predictive control framework subject …

A novel robust deadbeat predictive direct speed control (RDP-DSC) method for permanent
magnet synchronous motor is proposed to improve the speed control bandwidth and …

To eliminate the influence of the parameter mismatches and obtain high model quality, a
model-free predictive current control (MF-PCC) strategy based on the autoregressive …