Selecting Best Interpolation Technique for Simulation Modeling of Switched Reluctance Machine

The available experimental data is often not sufficient enough and therefore, an interpolation technique is required to suit the trend of experimental data in simulation model of the switched reluctance machine. The objective of this paper is to present a suitable simulation model of the machine with help of different data interpolation techniques to overcome the missing intermediate data available from the experiments. The input data is obtained from experiments and missing required data is obtained through interpolation methods for range of desired samples. Matlab software is used for the simulation purpose. This methodology of finding best curve fitting technique and missing data points is simple and easy to implement. The findings of this research work are helpful for developing an accurate simulation model and to see the effect of different data interpolation techniques on instantaneous phase current wave forms of switched reluctance machine.