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 …

Switched reluctance motor (SRM) is gaining more interest in the last decades due to its wide
range of speed operation, thermal robustness, high performances and low manufacturing …

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 …

The ability to describe the nonlinear process dynamics is an essential feature of the
Hammerstein model that paved more research and application studies in system …