Selecting Best Interpolation Technique for Simulation Modeling of Switched Reluctance Machine

Input data for mathematical modeling and numerical simulation of switched reluctance machines

“…Electrical machines are judged from its electrical and more importantly the magnetic circuit. The data of flux linkage presented in this paper actually epitomizes the magnetic behavior of the existing machine (4phase, 8/6 pole rotary Switched Reluctance Machine D-80, 0.75 kW, 1500 rpm, Bifilar wound type) [1] , [2] . There is range of options to get this data e.g.…”

“…This paper presents the input data in form of experimentally obtained magnetization characteristics. This data was used for computer simulation based model of SR machine, “Selecting Best Interpolation Technique for Simulation Modeling of Switched Reluctance Machine” [1] , “Modeling of Static Characteristics of Switched Reluctance Motor” [2] . This data is primary source of other data tables of co energy and static torque which are also among the required data essential for the simulation and can be derived from this data.…”

An Efficient Numerical Scheme for Static Torque Profiling of Switched Reluctance Machine With Experimental Validatio

“…Ahmad and Narayanan (2016) used a mathematical model for calculating flux linkage feature with fewer parameters for all values of current and rotor 'position by applying partial derivative and compared the results with Torey model, and reduced RMS error and calculating the back EMF for advanced controller [II]. Memon, Talani, and Memon (2016) experimental data table of flux linkage and inverted flux linkage are used to calculate co-energy, static torque respectively. The static characteristics of SRM are obtained using various data interpolation techniques and the results are finally compared for better performance [X].…”