Please use this identifier to cite or link to this item: http://dspace.aiub.edu:8080/jspui/handle/123456789/2028
Title: Torque and Speed Controllers Based on Fuzzy Logic and Energy Model of Induction Motor
Authors: Mannan, Mohammad Abdul
Murata, Toshiaki
Tamura, Junji
Keywords: Direct-torque control
Fuzzy logic control
Speed control
Energy model
Induction motor
Issue Date: Aug-2013
Publisher: American International University-Bangladesh (AIUB)
Citation: Mohammad 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.
Abstract: This 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.
URI: http://dspace.aiub.edu:8080/jspui/handle/123456789/2028
ISSN: 1608 – 3679
Appears in Collections:Publications From Faculty of Engineering

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