01811nam a2200241 a 4500 vtls000073907 KUKTEM 20251114204547.0 130819t2012 my a f m 000 0 eng d THE0006761(Local) 201905290921 amirul 201308190912 Fida UMP TK2785 .S93 2012 rs Bc. Nurul Syamila Mohd Rosli Stator resistance estimation of induction motor using genetic algorithm / Nurul Syamila Mohd Rosli Kuantan, Pahang : UMP, 2012 xiii, 44 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM 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. Electric motors, Induction 0 0 0 1 20000 20000 2019-09-04 0 TK2785 .S93 2012 rs Bc. 0000071342 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 6756 | TK2785 .S93 2012 rs Bc. 0000071343 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 4127 4133 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*9992