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A stator resistance estimation of induction motor using neural network / Mohd Shukri Alias

By:

Mohd Shukri Alias

Material type: Text

TextPublication details: Kuantan, Pahang : UMP, 2010Description: xv, 51 p. : ill. (some col.) ; 30 cm. + 1 computer discISBN:

THE0006823(Local)

Other title:

A stator resistance estimation of induction motor using neural network [computer file]

Subject(s):

Dissertation note: Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010 Abstract: 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.

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Holdings ( 2 )
Title notes ( 3 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Final Year Report	UMPLIB PEKAN	TK4058 .S58 2010 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000058181
Final Year Report	UMPLIB PEKAN	CD 5290 \| TK4058 .S58 2010 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000058182

Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010

Bibliography : p. 43-44

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.