A novel rotor resistance estimation technique for vector controlled induction motor drive using TS fuzzy

dc.contributor.authorChacko S.en_US
dc.contributor.authorBhende C.N.en_US
dc.contributor.authorJain S.en_US
dc.contributor.authorNema R.K.en_US
dc.date.accessioned2025-02-17T05:21:05Z
dc.date.issued2015
dc.description.abstractInduction motor with indirect field oriented control is well suited for high performance applications due to its excellent dynamic behavior. However it is sensitive to variations in rotor time constant, especially variation in rotor resistance. In this study a scheme based on the Rotor flux Model Reference Adaptive Controller is used for on line identification of the rotor resistance and thus improving the steady state performance of the drive. The overriding feature of this estimation technique is the accurate identification of rotor resistance during transient and steady state conditions for drive operation at full load and at zero speed condition. Moroever, the effectiveness of the TS fuzzy controller utilizing rotor flux for online estimation of rotor resistance for four quadrant operation of motor drive is investigated and compared with the conventional PI and Mamdani fuzzy controller.Simulation results in MATLAB/Simulink environment have been presented to confirm the effectiviness of the proposed technique. � 2015, Institute of Advanced Engineering and Science. All rights reserved.en_US
dc.identifier.citation3en_US
dc.identifier.urihttp://dx.doi.org/10.11591/ijpeds.v6.i3.pp538-553
dc.identifier.urihttps://idr.iitbbs.ac.in/handle/2008/723
dc.language.isoenen_US
dc.subjectAdaptive systemen_US
dc.subjectIndirect rotor flux orienteden_US
dc.subjectInduction motoren_US
dc.subjectMamdani fuzzy controlleren_US
dc.subjectProportional integral controlleren_US
dc.subjectRotor flux model referenceen_US
dc.subjectTakagi Sugeno fuzzy controlleren_US
dc.subjectVector controlen_US
dc.titleA novel rotor resistance estimation technique for vector controlled induction motor drive using TS fuzzyen_US
dc.typeArticleen_US

Files