This paper introduces a novel approach for controlling a dual-star induction motor by
combining third-order sliding mode control with the grey wolf optimization algorithm (TOSMC …

This paper presents a sliding mode control (SMC) associated to the field oriented control
(FOC) of a dual-stator induction generator (DSIG) based wind energy conversion systems …

The difficulty of control in the induction machine is due to the coupling of the torque and flux
since the load torque change induces unavoidably the flux variation. So, to ensure …

This paper presents the particle swarm optimization (PSO) algorithm in conjuction with the
fuzzy logic method in order to achieve an optimized tuning of a proportional integral …

In this paper, a new control strategy is deve-loped; an adaptive fuzzy controller based on
Lyapunov's stability theory (AFLC) recalculates the real-time PI-fuzzy gains and combines …

DSIMs powered by voltage source MLIs have emerged as a promising solution for a wide
range of industrial applications. These machines offer several key advantages over …

This work relates to a hybrid scheme (Neuro-Fuzzy) for speed control of a dual star induction
motor (DSIM) with enhancedperformance. A 4-layer network is utilized to set the Fuzzy …

A fuzzy PID controller design method is proposed for precise robust control of DC-DC buck
converters. The PID parameters are determined reflecting on the common control …

At below‐rated wind speeds, the main goal of a controller design is to maximize power
coefficient and consequently captured power. Due to nonlinearities and uncertainties in …

The paper presents two fuzzy logic control algorithms: type-1 and type-2. These two
nonlinear techniques are used for adjust the speed control with a direct stator flux orientation …