Nurul Syamila, Mohd Rosli (2012) Stator resistance estimation of induction motor using genetic algorithm. Faculty of Mechanical Engineering, Universiti Malaysia Pahang.
![[img]](http://umpir.ump.edu.my/style/images/fileicons/application_pdf.png)
|
PDF
cd6756_56.pdf Download (1MB) |
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.
| Item Type: | Undergraduates Project Papers |
|---|---|
| Uncontrolled Keywords: | Electric motors, induction |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Mr. Nik Ahmad Nasyrun Nik Abd Malik |
| Date Deposited: | 06 Jan 2014 03:37 |
| Last Modified: | 03 Jun 2021 04:41 |
| URI: | http://umpir.ump.edu.my/id/eprint/4450 |
| Download Statistic: | View Download Statistics |
Actions (login required)
 |
View Item |