Look-up Data Tables-Based Modeling of Switched Reluctance Machine and Experimental Validation of the Static Torque with Statistical Analysis
Ali Asghar Memon, Muhammad Mujtaba Shaikh, Syed Sabir Hussain Bukhari, Jong‐Suk Ro
Abstract
The look-up data-based modeling of switched reluctance machine and the procedure of validation of experimentally obtained static torque with statistical analysis is presented in this paper. First, the experimental setup for data collection of flux linkage and static torque is established and data is collected at an unequally spaced current and rotor position so that computation of instantaneous phase current and torque can be achieved. Second, the experimental data of static torque is compared with computed data. The computation is done in MATLAB software. Third, for numerical simulations, finite difference approximations and numerical integration schemes are used to compute co-energy and static torque profiles, respectively. The comparison is carried out in terms of different statistical parameters, including absolute and relative error distributions of the measured and computed torque profiles. A correlational study, to observe the extent to which both profiles exhibit a similar trend is also carried out. Finally, the influence of computed torque is carefully analyzed by running machine in single pulse mode and current chopping mode separately. The comparison with experimental data and the statistical analysis of results show the time efficiency, accuracy, and validity of the numerically simulated torque profiles.