Abstract Model Predictive Control (MPC) is an effective method of driving motors and power
converters due to its quick response, integrity, and multivariable control adaptability. A …

This article uses the active flux concept to review fundamental frequency sensorless
algorithms for both induction and permanent magnet motors in one framework …

In this article, a new frequency adaptive second-order disturbance observer (FASODO) for
back electromotive force (EMF) and active flux estimation is proposed using the active flux …

Unknown disturbances such as parameter perturbations, PM demagnetization fault, and
external disturbances degrade the control performance of a permanent magnet synchronous …

In this article, an analytical method is presented to achieve maximum power point tracking
(MPPT) for a solar photovoltaic (PV) array-based water pumping system comprising of an …

The standard model predictive control (MPC) of three‐phase motors requires heavy
calculation efforts for evaluating all voltage vectors (VV) in addition to the variable switching …

With the use of sensorless control strategy, mechanical position sensors can be removed
from the gearbox, so as to decrease the maintenance costs and enhance the system …

Three-level neutral-point-clamped (3L-NPC) power converters are necessary interfaces to
form micro-energy systems. Naturally, designing a suitable control scheme, featuring …

This article proposes an adaptive second-order active-flux observer (ASO-AFO) for
sensorless control of permanent magnet synchronous machines (PMSMs) with online …

Extended sliding mode disturbance observer-based current observer for interior permanent
magnet synchronous motors (IPMSM) is an efficient method, where the estimated dq-axis …