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...

prompt detection and diagnosis of faults in industrial systems areessential to minimize the production losses, increase the safety of the operatorand the equipment. several techniques are available in the literature to achievethese objectives. this paper presents fuzzy based control and fault detection for a6/4 switched reluctance motor. the fuzzy logic control performs like a classicalproporti...

this paper presents a new control structure to reduce torque ripple in switched reluctance motor. although srm possesses many advantages in motor structure, it suers from large torque ripple that causes some problems such as vibration and acoustic noise. in this paper another control loop is added and torque ripple is de ned as an objective function. by using fuzzy sliding mode strategy, the dc...

This paper presents developing an analytical model for flux switching motors. The motor is a class of variable reluctance motors that has two windings on stator; a field winding and an armature winding. Due to saliency of both stator and rotor poles, accurate modeling is difficult which arises from the nonlinear behavior of the machine. This paper presents a simple model which is able to predic...

--This paper presents the Analysis of Dynamic Characteristics of switched reluctance Generator using MATLAB, a widely used simulation tool. Component models are addressed and their incorporation into the MATLAB is provided. The component models are constructed by user-define functions provided in the simulation program. This modeling work is mainly employed to analyse the characteristics of swi...