With the increasing environmental concerns, a paradigm shift towards electric and hybrid
electric vehicles is expected. Switched Reluctance Motors (SRMs) have emerged as a …

This two-part paper presents a review of the predictive control techniques applied in
switched reluctance machine (SRM) drives. The objective is to promote the applications of …

This article presents a method to reduce the torque ripple in an 8/6 four-phase switched
reluctance motor (SRM). The proposed scheme introduces a nonlinear modulating factor …

This paper proposes the use of two recent optimization techniques, called the Local
Unimodal Sampling (LUS) and the Spotted Hyena Optimizer (SHO), to optimally tune …

With the increasing focus on sustainable development and environmental preservation, the
aviation industry has been exploring innovative solutions, such as more electric aircraft …

This paper presents an online adaptive method to adjust the phase turn-off angle in finite
control set model predictive control (FCS-MPC) of switched reluctance motor (SRM) drives to …

In this article, a novel Q-learning scheduling method for the current controller of a switched
reluctance motor (SRM) drive is investigated. The Q-learning algorithm is a class of …

In this paper, a virtual-flux finite control set model predictive control (FCS-MPC) strategy of
switched reluctance motor (SRM) drives is proposed. This technique uses a flux linkage …

By the virtue of its highly nonlinear magnetic characteristics, the Switched Reluctance
Machine (SRM) poses a formidable challenge for digital current regulators operating at a …

Model predictive control (MPC) is an advanced control technique with salient features, such
as simplicity applied in multivariable systems, fast-transient response, inclusion of …