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Implementation of Adaptive Neuro Fuzzy Inference System in Speed Control of Induction Motor Drives

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Author(s): K. Naga Sujatha | K. Vaisakh

Journal: Journal of Intelligent Learning Systems and Applications
ISSN 2150-8402

Volume: 02;
Issue: 02;
Start page: 110;
Date: 2010;
Original page

Keywords: ANFIS Controller | PI Controller | Fuzzy Logic Controller | Artificial Neural Network Controller | Induction Motor Drive

ABSTRACT
A new speed control approach based on the Adaptive Neuro-Fuzzy Inference System (ANFIS) to a closed-loop, variable speed induction motor (IM) drive is proposed in this paper. ANFIS provides a nonlinear modeling of motor drive system and the motor speed can accurately track the reference signal. ANFIS has the advantages of employing expert knowledge from the fuzzy inference system and the learning capability of neural networks. The various functional blocks of the system which govern the system behavior for small variations about the operating point are derived, and the transient responses are presented. The proposed (ANFIS) controller is compared with PI controller by computer simulation through the MATLAB/SIMULINK software. The obtained results demonstrate the effectiveness of the proposed control scheme.
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