Efficiency Optimization Control of Induction Motor using Fuzzy Logic
D. Archana1, Kotyada. Kalyani2, B. Shankar Prasad3

1D. Archana, Asst. Professor, Department of EEE, BITAM, Engineering College, Visakhapatnam (A.P.), India.
2Kotyada. Kalyani, Asst. Professor, Department of EEE, St. Theresha Engineering College, Visakhapatnam (A.P.), India
3B. Shankar Prasad, Asst. Professor, Department of EEE, St. Theresha Engineering College, Visakhapatnam (A.P.), India

Manuscript received on July 01, 2012. | Revised Manuscript received on July 04, 2012. | Manuscript published on July 05, 2012. | PP: 327-332 | Volume-2, Issue-3, July 2012. | Retrieval Number: C0742062312/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Because of the low maintenance and robustness induction motors have many applications in the industries. Most of these applications need fast and smart speed control system. This paper introduces a smart speed control system for induction motor using fuzzy logic controller. Induction motor is modeled in synchronous reference frame in terms of dq form. The speed control of induction motor is the main issue achieves maximum torque and efficiency. Two speed control techniques, Scalar Control and Indirect Field Oriented Control are used to compare the performance of the control system with fuzzy logic controller. Indirect field oriented control technique with fuzzy logic controller provides better speed control of induction motor especially with high dynamic disturbances. The model is carried out using Matlab/Simulink computer package. The simulation results show the superiority of the fuzzy logic controller in controlling three-phase induction motor with indirect field oriented control technique.

Keywords: Vector control, Fuzzy logic, Induction motor drive