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Vector control of three-phase induction motor using artificial intelligent technique

Author(s): Arunima Dey | Bhim Singh | Bharti Dwivedi | Dinesh Chandra

Journal: Journal of Engineering and Applied Sciences
ISSN 1819-6608

Volume: 4;
Issue: 4;
Start page: 57;
Date: 2009;
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Keywords: fuzzy inference system (FIS) | fuzzy logic controller (FLC) | membership function | vector control.

The controllability of torque in an induction motor without any peak overshoot and less ripples with good transient and steady state responses form the main criteria in the designing of a controller. Though PI controller is able to achieve these but with certain drawbacks as the gains can not be increased beyond certain limit so as to have an improved response. Moreover, it introduces non linearity into the system making it more complex for analysis. Also it deteriorates the controller performance. With the advent of artificial intelligent techniques, these drawbacks can be mitigated. One such technique is the use of Fuzzy Logic in the design of controller either independently or in hybrid with PI controller. This paper proposes a unique set of fuzzy logics for the speed controller design to be used in vector controlled three phase induction motor. The results obtained from the model using proposed Fuzzy Logic Controller and PI Controller are compared. It can be concluded that use of Fuzzy logic improves and smoothens out the ripples in the motor torque and stator currents. It also facilitates in limiting the magnitude of the torque and current values within the specified range in any kind of disturbance, either provided by the speed removal or by sudden application and removal of load torque. This has been verified through the simulation results of the model built completely in a MATLAB/SIMULINK environment.
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