Modelling methods and structure topology of the switched reluctance synchronous motor type machine: A review
The switched reluctance synchronous motors (SRSM) have been utilised as replacements for induction motors (IM) and permanent magnet synchronous motors (PMSM). The SRSM is a feasible solution for electric motors because of its robust and straightforward structure, resulting in low maintenance, manufa...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science (IAES)
2023
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| Online Access: | http://eprints.utem.edu.my/id/eprint/27424/2/0109418122023.PDF http://eprints.utem.edu.my/id/eprint/27424/ https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/21971 http://doi.org/10.11591/ijpeds.v14.i1.pp111-122 |
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| Summary: | The switched reluctance synchronous motors (SRSM) have been utilised as replacements for induction motors (IM) and permanent magnet synchronous motors (PMSM). The SRSM is a feasible solution for electric motors because of its robust and straightforward structure, resulting in low maintenance, manufacturing, and operating costs. However, the SRSM has
several flaws, including low mean torque, low torque density and excessive torque ripples. The SRSM performance can be improved by considering the structure topology and driving system. This paper reviewed the performance characteristic of SRSM based on the structural topology. Several literature
studies on the segmented structure topologies of SRSM were compared with the conventional structures. The performance of the SRSM can be estimated by using either numerical or analytical methods. The FEA and BEM are numerical techniques extensively used to optimise electrical motor
performance. Although the numerical method can accurately estimate motor performance, the significant drawback is quite complicated, time-consuming, and difficult to implement the control algorithm with FEA software. However, the analytical method, especially the MEC method, is
faster in evaluating motor performance and significantly reduces computational complexity, either with or without solving high-dimensional system matrices. |
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