A stator resistance estimation of induction motor using neural network

Mohd Shukri, Alias (2010) A stator resistance estimation of induction motor using neural network. Faculty Of Electrical & Electronic Engineering, Universiti Malaysia Pahang.

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During the operation of induction motor, stator resistance changes incessantly with the temperature of the working machine. This situation may cause an error in rotor resistance estimation of the same magnitude and will produce an error between the actual and estimated motor torque which can leads to motor breakdown in worst cases. Therefore, this project will propose an approach to estimate stator resistance of induction motor using neural network. Then, a correction will be made to ensure the stabilization of the system.This work has been motivated by the recent use of neural networks in different industry applications, and by their several advantages over the conventional controllers, such as stability, reliability, speed, and robustness.

Item Type: Undergraduates Project Papers
Additional Information: Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010. SV: NORAZILA BT JAALAM, CD NO. 5290
Uncontrolled Keywords: Electric driving -- Automatic control, Electric motors -- Automatic control, Neural networks (Computer science)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Syed Mohd Faiz
Date Deposited: 30 Dec 2011 05:59
Last Modified: 23 Feb 2023 08:00
URI: http://umpir.ump.edu.my/id/eprint/1997
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