To benefit from the advantages of Reinforcement Learning (RL) in industrial control
applications, RL methods can be used for optimal tuning of the classical controllers based …

This paper presents a discrete-time variable-structure-based control and a speed estimator
designed for a permanent-magnet synchronous motor (PMSM). A cascade control scheme is …

In this paper a novel adaptive sliding mode control method has been designed and applied
to the load frequency control. Firstly, a novel adaptive sliding mode control method is …

This paper presents a novel scheme for the speed/position control of permanent-magnet
(PM) DC motor drives. A cascade-control scheme, based on multiple instances of a second …

A method of reference model decomposition, an extension of model reference adaptive
control, is presented. The decomposition method can be regarded as a way of including …

This paper describes an alternative method to implement a fuzzy logic speed controller for a
DC motor using a fuzzy logic microcontroller. The design, implementation and experimental …

Sustainable energy sources are valuable energy sources. Renewable energy production
boosts the economic status of a country. Wind energy is one of the most abundant …

This paper presents comparative analysis of different controller configuration for speed
control of separately excited DC motor. The main aim of this paper is to obtain optimize …

This paper presents a design of the fuzzy logic control for a permanent magnet DC motor.
The main objective is to achieve a robust controller under disturbances and unmodeled …

This paper presents the realization of a microbrushless dc motor (MBDCM) feedback system
based on a real-coded structural genetic algorithm (RSGA), which combines the advantages …