عنوان مقاله [English]
In the recent years, the use of switched reluctance motors (SRM) in industrial applications has been increased. In this regard, a large amount of research studies have been conducted on controlling the speed and torque of the aforementioned motors. These motors not only have a simple and stable structure, but also production cost is low. In addition, these motors take advantage of great power, the ability to work in high speeds and inadequate environments (hot and dusty), reliability, control-ability, and high efficiency. However, discrete torque production of SRM along with enormous magnetic saturation in their cores reduces the variety of their industrial applications and also causes the inappropriate torque ripples. In this paper, a modified logical-rule-based method is proposed which employs the technique of controlling torque sharing function. Moreover, the optimized turn-on angle for conducting each phase is achieved by estimating the inductance curve in the vicinity of unaligned position and based on an analytical solution. Simulation results on a four-phase switched reluctance motor and a comparison with the conventional methods indicates validity and effectiveness of the proposed modified method.
 S.C. Sahoo, J.X. Xu, S.K. Panda, "Determination of current waveforms for torque ripple minimization in switched reluctance motors using iterative learning: An nvestigation", IEE Proceeding Electric Power Applications, Vol. 146, No. 4, pp. 369–377, Jul. 1999.