Abstract
Accurate magnetization characteristics are essential for performance analysis and advanced control of switched reluctance motor (SRM). However, it is complicated to accurately model SRM due to its doubly salient structure, deep magnetic saturation, and highly nonlinear magnetization characteristics. This paper presents an accurate method to measure the flux-linkage and static torque characteristics of SRM. The measurements are executed based on a digital signal processor (DSP) and LabVIEW data acquisition system (DAQ). Theoretical derivation and practical implementation of the proposed method are discussed in details. The measurement errors are analyzed and post-processed to reduce them. The accuracy of measurement is verified by three ways: finite element analysis (FEA), inductance-capacitance-resistance (LCR) meter, and comparison with results obtained based on an installed search coil on stator poles. Finally, the measured static characteristics are used in modeling of the tested 8/6 SRM using MATLAB/Simulink. A comparison between simulated and experimental measured current waveforms is achieved and good agreement is found which demonstrates the measurement accuracy. It also verifies the accuracy and dependability of built MATLAB simulation model.
| Original language | English |
|---|---|
| Title of host publication | 2017 19th International Middle-East Power Systems Conference, MEPCON 2017 - Proceedings |
| Editors | Abdallah M. Elsayed |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 993-998 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538609903 |
| DOIs | |
| State | Published - 2 Jul 2017 |
| Externally published | Yes |
Publication series
| Name | 2017 19th International Middle-East Power Systems Conference, MEPCON 2017 - Proceedings |
|---|---|
| Volume | 2018-February |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Keywords
- Error reduction
- flux measurement
- magnetization characteristics
- switched reluctance motor (SRM)
- verification
ASJC Scopus subject areas
- Computer Networks and Communications
- Energy Engineering and Power Technology