Implementation of Adaptive Neuro Fuzzy Inference System in Speed Control of Induction Motor Drives
K. Naga Sujatha, K. Vaisakh
DOI: 10.4236/jilsa.2010.22014   PDF    HTML     10,962 Downloads   19,316 Views   Citations


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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K. Sujatha and K. Vaisakh, "Implementation of Adaptive Neuro Fuzzy Inference System in Speed Control of Induction Motor Drives," Journal of Intelligent Learning Systems and Applications, Vol. 2 No. 2, 2010, pp. 110-118. doi: 10.4236/jilsa.2010.22014.

Conflicts of Interest

The authors declare no conflicts of interest.


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