Modelling the characteristics of a 6/4 Switched Reluctance Motor using neural network / Mohamed Azmi Mohamed Razali
Switched Reluctance Motor (SRM) are almost always operated within the saturation region and therefore has a very large operation region. This yields very strong nonlinearities, which makes it difficult to derive a comprehensive mathematical model for the behaviour of the machine. Neural Networks can...
محفوظ في:
| المؤلف الرئيسي: | |
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| التنسيق: | أطروحة |
| اللغة: | English |
| منشور في: |
1997
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| الوصول للمادة أونلاين: | https://ir.uitm.edu.my/id/eprint/100017/1/100017.pdf https://ir.uitm.edu.my/id/eprint/100017/ |
| الوسوم: |
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| الملخص: | Switched Reluctance Motor (SRM) are almost always operated within the saturation region and therefore has a very large operation region. This yields very strong nonlinearities, which makes it difficult to derive a comprehensive mathematical model for the behaviour of the machine. Neural Networks can be used to overcome such problems. This paper presents Neural Networks as a tool to model the characteristics of the motor. The flux-linkage versus current relationship as a function of rotor position for a 6/4 SRM was modelled using Neural |
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