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Look-up Data Tables-Based Modeling of Switched Reluctance Machine and Experimental Validation of the Static Torque with Statistical Analysis

Journal of Magnetics, Volume 25, Number 2, 30 Jun 2020, Pages 233-244
Ali Asghar Memon (Department of Electrical Engineering, Mehran University of Engineering and Technology), Muhammad Mujtaba Shaikh (Department of Basic Science and Related Studies, Mehran University of Engineering and Technology), Syed Sabir Hussain Bukhari (Department of Electrical Engineering, Sukkur IBA University), Jong-Suk Ro * (School of Electrical and Electronics Engineering, Chung-Ang University)
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.
Keywords: Flux linkage; mathematical modeling; numerical integration switched reluctance motor; static torque; statistical
DOI: https://doi.org/10.4283/JMAG.2020.25.2.233
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