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Speed Control of Induction Motor using Fuzzy Rule Base

Author(s): D. D. Neema | R. N. Patel | A. S. Thoke

Journal: International Journal of Computer Applications
ISSN 0975-8887

Volume: 33;
Issue: 5;
Start page: 16;
Date: 2011;
Original page

Keywords: Membership Function | Rule Base | Mamdani | Vector control IM drive | Fuzzy Logic | DSP

The induction motors are characterized by complex, highly nonlinear and timevarying dynamics, and hence their speed control is a challenging engineering problem. The advent of vector control techniques has partially solved induction motor control problems, but they are sensitive to drive parameter variations and performance may deteriorate if conventional controllers are used. By exploiting the fuzzy logic structure of the controller, heuristic knowledge is incorporated into the design, resulting in a nonlinear controller with improved large signal performance over linear PI controllers. This paper proposes a novel design procedure for speed control of induction motor using fuzzy logic controller 'FLC'. The input to the controller is error and change in error and output of the controller is torque producing component of current, applied for the speed control of an induction motor. The effectiveness of the controller is demonstrated on the 1 hp three phase induction motor using DSP 2407 for different operating conditions of the drive system.
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