A new offline current modulation using a neuro-fuzzy compensation scheme for torque-ripple reduction in switched reluctance motors is presented. The main advantage of the proposed technique is that the torque signal is unnecessary. The compensating signal is learned prior to normal operation in a self-commissioning run, capturing the necessary current shape to reduce the torque ripple. Simulati...

In this paper, an optimum-efficiency control scheme of synchronous reluctance motors is presented. There exists a variety of combinations of dand q-axis current which provides a specific motor torque. The objective of the optimum-efficiency controller is to seek a combination of dand q-axis current components, which provides minimum input power, that is, minimum losses at a certain operating po...

Switched reluctance motors (SRM) have a wide range of applications in industries due to the special properties of this motor. However, because of its dynamical nonlinearities, so the problems control of SRM is complex. This paper proposed an adaptive intelligent controller for SRM with the aim to improve the ripple of torque. First, we use a fuzzy logic controller to control switch-off angle, a...

A new off-line current modulation using a neuro-fuzzy compensation scheme for torque ripple reduction in switched reluctance motors (SRMs) is presented. The main advantage of the proposed technique is that the torque signal is unnecessary. The compensating signal is learned prior to normal operation in a self-commissioning run, capturing the necessary current shape to reduce the torque ripple. ...

Nowadays the use of the Switched Reluctance Motors (SRMs) has been considerably increased in various home and industrial applications. Despite of many advantages of this type of motors, such as simple structure, low cost, and high reliability, the main disadvantage of them is the generation of high torque pulsation. This paper presents a novel method to optimize a typical SRM such that the torq...