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Stator resistance estimation of induction motor using genetic algorithm / Nurul Syamila Mohd Rosli

By:

Nurul Syamila Mohd Rosli

Material type: Text

TextPublication details: Kuantan, Pahang : UMP, 2012Description: xiii, 44 p. : ill. (some col.) ; 30 cm. + 1 CD-ROMISBN:

THE0006761(Local)

Subject(s):

Electric motors, Induction

Dissertation note: Project paper (Bachelor of Electrical Engineering (Power Systems) -- Universiti Malaysia Pahang - 2012 Abstract: Nowadays, induction motors are mainly used in all industrial especially in plant industrial. In general, this motor is widely used because it is cheaper, easy to maintenance, no friction by brushes and their speed are easy to control compared to the direct current (DC) motor. But, the stator resistance changes continuously with the temperature of the machine. The changes can cause an error between the actual and estimated motor torques which leads to motor break down in worst cases. In order to solve this issue, a genetic algorithm method is designed to estimate the variation of stator resistance. This project is about to design genetic algorithm estimator using MATLAB software, and builds an actual induction motor using Newcastle University Drives Simulation Library. Finally these parts of Simulink diagram will be combined to estimate the variation of stator resistance.

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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	TK2785 .S93 2012 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000071342
Final Year Report	UMPLIB PEKAN	CD 6756 \| TK2785 .S93 2012 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000071343

Project paper (Bachelor of Electrical Engineering (Power Systems) -- Universiti Malaysia Pahang - 2012

Bibliography : p. 39-40

Nowadays, induction motors are mainly used in all industrial especially in plant industrial. In general, this motor is widely used because it is cheaper, easy to maintenance, no friction by brushes and their speed are easy to control compared to the direct current (DC) motor. But, the stator resistance changes continuously with the temperature of the machine. The changes can cause an error between the actual and estimated motor torques which leads to motor break down in worst cases. In order to solve this issue, a genetic algorithm method is designed to estimate the variation of stator resistance. This project is about to design genetic algorithm estimator using MATLAB software, and builds an actual induction motor using Newcastle University Drives Simulation Library. Finally these parts of Simulink diagram will be combined to estimate the variation of stator resistance.