Model-predictive control (MPC) has emerged as a promising control method in power
electronics, particularly for multiobjective control problems such as multilevel inverter (MLI) …

The application of model predictive control in electrical drives has been studied extensively
in the past decade. This article presents what the authors consider the most relevant …

The smart-grid has requirements of flexible automation, efficiency, reliability, resiliency and
scalability. These are necessitated by the increasing penetration of power-electronics …

A simultaneous diagnosis method for power switch open-circuit faults and current sensor
faults of grid-connected three-level neutral point clamped (NPC) inverters is proposed …

Finite control set model predictive control (FCS-MPC) calculates torque and flux tracking
errors via a cost function that is used for selecting the optimal vector. Compared with field …

The use of artificial neural networks (ANNs) for the selection of weighting factors in cost
function of the finite-set model-predictive control (FS-MPC) algorithm can speed up selection …

With the gradual opening and rapid development of power markets, large-scale multi-area
interconnected power systems (LMIPSs) have become an inevitable pattern. The traditional …

Model predictive control (MPC) has become one of the most attractive control techniques
due to its outstanding dynamic performance for permanent magnet synchronous motor …

The deadbeat control is one of the widely concerned control methods for the permanent-
magnet synchronous motor (PMSM) due to its fast dynamic performance. However, its …

A seven-level modified packed U-cell (MPUC7) based static synchronous compensator
(MPUC7-STATCOM) with an autotuned finite control-set model predictive control (AFCS …