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dc.contributor.authorMannan, Mohammad Abdul-
dc.contributor.authorMurata, Toshiaki-
dc.contributor.authorTamura, Junji-
dc.date.accessioned2024-01-16T10:24:46Z-
dc.date.available2024-01-16T10:24:46Z-
dc.date.issued2013-08-
dc.identifier.citationMohammad Abdul Mannan, T. Murata and J. Tamura, “Torque and Speed Controllers Based on Fuzzy Logic and Energy Model of Induction Motor”, AIUB Journal of Science and Engineering (AJSE), Vol. 12, No, 1, pp. 1-8, August, 2013.en_US
dc.identifier.issn1608 – 3679-
dc.identifier.urihttp://dspace.aiub.edu:8080/jspui/handle/123456789/2028-
dc.description.abstractThis paper work demonstrated an interactive fuzzy logic based torque and speed control for direct torque controlled induction motor (IM). The direct torque control (DTC) strategy has been designed to decouple the flux and torque control by using the energy model of induction motor. Traditional PI controller, which is used for industrial applications for its simplicity, does not meet the requirement (such as minimize the overshoot, steady-state error, robustness under the variation of load disturbance and parameters) for high performance of IM. In this paper two fuzzy logic controllers, which are designed based on energy model of IM, are developed to control the torque and speed of an IM. The drive is simulated successfully using MATLAB/SIMULINK to verify the performance of designed fuzzy-logic controllers. The performance of the drive has been examined under various working conditions. The proposed fuzzy logic controllers work satisfactorily making the drive more suitable for high performance applications.en_US
dc.language.isoenen_US
dc.publisherAmerican International University-Bangladesh (AIUB)en_US
dc.subjectDirect-torque controlen_US
dc.subjectFuzzy logic controlen_US
dc.subjectSpeed controlen_US
dc.subjectEnergy modelen_US
dc.subjectInduction motoren_US
dc.titleTorque and Speed Controllers Based on Fuzzy Logic and Energy Model of Induction Motoren_US
dc.typeArticleen_US
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