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. ...

Dynamic behavior analysis of electric motors is required in order to accurately evaluate the performance, energy consumption and pollution level of hybrid electric vehicles. Simulation tools for hybrid electric vehicles are divided into steady state and dynamic models. Tools with steady-state models are useful for system-level analysis whereas tools that utilize dynamic models give in-depth inf...

INTRODUCTION Recently, the study of single unit spherical actuators that can perform multi degree of freedom movements has increased. The spherical actuator is an electric machine that is able to tilt its shaft on multiple degrees of freedom using electromagnetic force. Various types of spherical motors have been developed. Lee et al.[1-4] devised variable reluctance spherical actuators. They r...

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...

To control Synchronous Reluctance Motors (SYRM) without using position sensors has been , challenging task for some time. This paper presents a new approach to the problem based on neural network methods Instead of using position sensors, neural networks are used to identify the rotating angles of the rotor. Neural networks are trained to associate between the measured phase voltages and curren...

The paper presents a new approach to design nonlinear controller for switched reluctance motors (SRMs) based on backstepping technique and artificial neuron network (ANN) in flux estimator. Backstepping with an ANN estimator will be applied controlling SRMs which have drive model. was trained off-line using backpropagation algorithm. stability of the closed control loop analyzed proved accrodin...

A design package is developed for a single-tooth per stator pole switched reluctance motor, 6/4. The rather simple assumed flux path method is used to estimate the unaligned permeance including the leakage permeances and the effects of shallow slot and tooth taper. The possibility of making rotor tooth width greater than stator tooth width is examined using the developed package. The result app...

Switched reluctance motors (SRM) becomes increasingly popular due to its simple structure and dependability. It seems have a two-pole configuration. A stator had also centralized coils along each pole, whereas rotor has an iron core only. As result, the switched motor is anticipated be low cost, incredibly robust variable-speed machine. Because only made up of laminated coils, performance heavi...