In recent years, permanent magnet synchronous motors (PMSMs) have been widely used in
industry. Position-sensorless control has the advantages of reducing costs and improving …

Artificial neural network (ANN) has recently been considered in weighting factors (WFs)
optimization for finite control-set model predictive control (FCS-MPC). However, the training …

Model predictive control (MPC) technology for multi-phase electric drives has received
increasing attention in modern industries, especially in electric vehicles, marine electrical …

A Permanent Magnet-Assisted Synchronous Reluctance Motor (PMASynRM) is favored
because of its lower Permanent Magnet (PM) amount. They utilize more reluctance than PM …

In safety-and precision-critical control scenarios for permanent magnet synchronous motors
(PMSMs), the external spontaneous disturbance causes unexpected speed drop. The …

Tuning the weighting factor is crucial to model predictive torque and flux control. A finite set
of discrete weighting factors is utilized in this research to determine the optimum solution …

The permanent magnet synchronous motors (PMSM) have been widely used in motor drive
applications. In the closed-loop control system, the current sensors play an essential role …

Model predictive torque control (MPTC) for permanent magnet synchronous motor (PMSM)
suffers from multiparameter sensitivities and complicated weighting factors tuning. To solve …

To improve the performance and the robustness of finite control set predictive current control
(PCC) under the influence of current measurement error in the actual system, robust …

In the conventional finite control set model predictive torque control, the cost function
consists of different control objectives with varying units of measurements. Due to presence …