02160nam a2200265 a 4500001001400000003000700014005001700021008004100038020002200079039006500101040000800166090002800174100002200202245009300224260003400317300005600351502010500407504002800512520096700540650003101507952012201538952013201660999002501792999007701817vtls000055034KUKTEM20251114204437.0110722t2010    my a   f m    000 0 eng d  aTHE0006749(Local) 9a201905280953bamirulc201204091033dFiday201107221509zFida  aUMP  aTK2785 .A36 2010 rs Bc.0 aMohd Akmal Rohani12aA stator resistance estimation of induction motor using fuzzy logic /cMohd Akmal Rohani  aKuantan, Pahang :bUMP,c2010  axvi, 53 p. :bill. (some col.) ;c30 cm. + 1 CD-ROM  aProject paper (Bachelor of Electrical Engineering (Electronics) -- Universiti Malaysia Pahang - 2010  aBibliography : p. 48-493 aDuring 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 fuzzy logic. Then, a correction will be making to ensure the stabilization of the system. Generally, this project can be divided into three parts which are design the induction motor by using the mathematical equation, design Fuzzy Logic estimator to estimate the value of stator resistance R , and make the correction of stator resistance, R . The MATLAB simulink is used in order to design the induction motor. Secondly, Fuzzy Logic Toolbox is used to design fuzzy logic estimator and finally the correction of R  is make. 0aElectric motors, Induction  00104071a20000b20000d2019-09-04l0oTK2785 .A36 2010 rs Bc.p0000058177r2019-09-04 00:00:00t1w2019-09-04yPSM  00104071a20000b20000d2019-09-04l0oCD 5284 | TK2785 .A36 2010 rs Bc.p0000058178r2019-09-04 00:00:00t1w2019-09-04yPSM  aVIRTUA40c2145d2151  aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*9992