This review article systematically summarizes the existing literature on utilizing machine
learning (ML) techniques for the control and monitoring of electric machine drives. It is …

Induction motor drive is widely used in many load applications in approximately 60% of the
total industrial load. However, the dynamic configuration of the induction motor, especially a …

Greenhouse climate control is complicated procedure since the number of variables
involved on it and which are dependent on each other. This paper presents a contribution to …

The optimal control of large-scale wind turbine has become a critical issue for the
development of renewable energy systems and their integration into the power grid to …

The use of Fuzzy Logic Controller (FLC) as a speed controller for Induction Motor (IM) drives
is garnering strong researchers' interest since it has proven to achieve superior performance …

To address the challenges of poor grid stability, intermittency of wind speed, lack of decision-
making, and low economic benefits, many countries have set strict grid codes that wind …

One of the major factors that can increase the efficiency of wind turbines (WTs) is the
simultaneous control of the different parts in several operating area. The main problem …

In this article, an adaptive fuzzy control method is proposed for induction motors (IMs) drive
systems with unknown backlash-like hysteresis. First, the stochastic nonlinear functions …

This research study displays a design of an adaptive neuro-fuzzy torque controller technique
applied to induction motor drive via decoupling feedback linearization for enhancing the …

To improve the performance of permanent-magnet synchronous motor (PMSM) drives, a
sensorless control scheme based on a sliding mode observer (SMO) with a fuzzy logic …