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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
1997
|
| Online Access: | https://ir.uitm.edu.my/id/eprint/100017/1/100017.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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 |
|---|