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• W1599322928 abstract "Because of the low maintenance and robustness induction motors have many applications in the industries. The speed control of induction motor is more important to achieve maximum torque and efficiency. Various speed control techniques like, Direct Torque Control, Sensorless Vector Control and Field Oriented Control are discussed in this paper. Soft computing technique – Fuzzy logic is applied in this paper for the speed control of induction motor to achieve maximum torque with minimum loss. The fuzzy logic controller is implemented using the Field Oriented Control technique as it provides better control of motor torque with high dynamic performance. The motor model is designed and membership functions are chosen according to the parameters of the motor model. The simulated design is tested using various tool boxes in MATLAB. The result concludes that the efficiency and reliability of the proposed speed controller is good. Keywords—Induction motor, Field Oriented Control, Fuzzy logic controller, Maximum torque, Membership function." @default.
• W1599322928 created "2016-06-24" @default.
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• W1599322928 date "2008-11-26" @default.
• W1599322928 modified "2023-09-30" @default.
• W1599322928 title "Induction Motor Speed Control Using Fuzzy Logic Controller" @default.
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