In this paper, a new approach is developed for the identification of Wiener–Hammerstein
model structures. Unlike several other papers, the transfer functions of linear elements are of …

The main component in renewable energy and electrical vehicles is the electric motor. The
choice of a low-cost motor, easy to maintain and with high efficiency is an important issue …

Switched reluctance motors (SRMs) present major interest in several domains, eg, in electric
vehicles, because of their wide range speed variation, high performances, low cost, and …

This paper is focused on the problem of system identification for a class of nonlinear systems
constituted of a Wiener subsystem and Hammerstein subsystem connected in parallel. Most …

Presently, the problem of parameter estimation is addressed for a more general nonlinear
model. In this respect, the proposed nonlinear system is composed of the parallel …

This paper aims, to presents a new method for identified the parameters of switched
reluctance machine (SRM) using neural network and Hammerstein model. This latter, is …

Ant colony optimization algorithm and fuzzy logic for switched reluctance generator control
Page 1 AIMS Energy, 10(5): 987–1004. DOI: 10.3934/energy.2022045 Received: 10 February …

This paper aims to investigate the perfection of conventional tools, as well as the application
of intelligent tools for switched reluctance motor (SRM) modelling and torque control with …

Switched reluctance machines (SRMAs) have recently received significant attention in the
electrical power research community. This attention can be attributed to its outstanding …

In terms of energy transmission, several phenomena can occur, which can affect the
reliability of the network, cause instabilities, and deteriorate the performance of the system …