@inproceedings{29a5d0cb03ef4b988a3b538c2a1db08c,
title = "ANFIS based intelligent control of vector controlled induction motor drive",
abstract = "This paper presents Adaptive Neuro-Fuzzy Inference System (ANFIS) based intelligent control of vector controlled induction motor drive. The proposed intelligent control scheme consists of sensorless adaptive neuro-fuzzy speed controller with speed estimation based on adaptive neuro-fuzzy inverse model. The proposed neuro-fuzzy speed controller incorporates fuzzy logic algorithm with a five-layer artificial neural network (ANN) structure. The conventional PI speed controller is replaced by Adaptive Neuro-Fuzzy Inference System (ANFIS), which tunes the fuzzy inference system with hybrid learning algorithm. This makes fuzzy system to learn. The structure of speed estimator is also same as speed controller but it incorporates inverse model identification algorithm for speed estimation. The performance of the proposed scheme is investigated at different operating conditions. The simulation study indicates robustness and suitability of drive for high performance drives applications.",
keywords = "Adaptive Neuro-Fuzzy Inference System (ANFIS), Back propagation algorithm, Hybrid learning algorithm, Inverse model, Speed estimator",
author = "Gupta, {R. A.} and Rajesh Kumar and Surjuse, {Rajesh S.}",
year = "2009",
doi = "10.1109/ICETET.2009.35",
language = "English",
isbn = "9780769538846",
series = "2009 2nd International Conference on Emerging Trends in Engineering and Technology, ICETET 2009",
pages = "674--680",
booktitle = "2009 2nd International Conference on Emerging Trends in Engineering and Technology, ICETET 2009",
note = "2009 2nd International Conference on Emerging Trends in Engineering and Technology, ICETET 2009 ; Conference date: 16-12-2009 Through 18-12-2009",
}