Modelling the characteristics of a 6/4 Switched Reluctance Motor using neural network / Mohamed Azmi Mohamed Razali

Mohamed Razali, Mohamed Azmi (1997) Modelling the characteristics of a 6/4 Switched Reluctance Motor using neural network / Mohamed Azmi Mohamed Razali. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

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

Metadata

Item Type:	Thesis (Degree)
Creators:	Creators Email / ID Num. Mohamed Razali, Mohamed Azmi UNSPECIFIED
Contributors:	Contribution Name Email / ID Num. Thesis advisor Md. Din, Norashidah UNSPECIFIED
Programme:	Bachelor of Engineering
Date:	1997
URI:	https://ir.uitm.edu.my/id/eprint/100017