An Investigation on Torque Ripple Minimization of Switched Reluctance Motor Using Different Power Converter Topologies Using Intelligent Techniques

Abstract

In the modern era, the fast necessities of the electrical drive are the indispensable part of the industries. This paper describes the modelling, analysis and study of various converter topologies fed switched reluctance motor (SRM) along with the speed control which is going to be achieved by the fuzzy logic controller. Now a days SRM is gaining more and more attention in recent high-speed industrial application due to its simplicity and ruggedness. Due to the double saliency nature of SRM drive, the torque pulsations are the vital challenge as the torque pulsations are relatively higher when compared to other conventional machines. The origin behind the high torque ripple in SRM is transferring the torque production from incoming phase to outgoing phase during the phase commutation period. Due to the presence of higher torque ripple, acoustic noise and oscillations are induced in the torque. To minimize the torque ripples, the current modulation technique plays the vital role which excites the stator phase sequentially. This paper proposes the different types of converter topologies such as asymmetric, C-dump and R-dump which are used to excite the stator phases of SRM with low torque ripples. Here the speed control can be achieved by the intelligent technique like fuzzy logic controller. The converters are to be designed using MATLAB/Simulink platform, and the mean values of torque and speed are to be compared and analysed. From the comparison, a proper converter is chosen for the SRM to maintain the minimum torque ripple.