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Indirect Vector Control Drive with PI Controller

Authors(5):

Glen Paul, Sutharson, Ramachandran.S.N, Mohan Kumar. S, R. Gunasekari
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This paper proposes the neural network solution incorporating an adaptive neuro fuzzy controller to the indirect vector control of three phase induction motor. The basic equations and elements of the indirect vector control scheme are given. The proposed control scheme is realized by using an adaptive neuro-fuzzy controller and two feed forward neural network. The neuro-fuzzy controller incorporates fuzzy logic algorithm with five layer (ANN) structure. The conventional PI controller is replaced by adaptive neuro-fuzzy inference system (ANFIS) which tunes the fuzzy inference system with hybrid learning algorithm. The two feed forward neural network are used as estimator, learned by the Levenberg-Marquardit algorithm with data taken from PI control simulations. The performance of proposed scheme is investigated at different load and speed conditions. The results of the proposed scheme are compared with PI controller. The simulation study shows the robustness and suitability of drive for high performance drive applications.

Glen Paul, Sutharson, Ramachandran.S.N, Mohan Kumar. S, R. Gunasekari

Adaptive Fuzzy logic controller(FLC), Hybrid learning algorithm, PI controller, Artificial Neural Network (ANN), Neuro-Fuzzy Inference System(ANFIS), Back propagation algorithm.

Publication Details

Published in : Volume 2 | Issue 2 | March-April - 2016
Date of Publication Print ISSN Online ISSN
2016-04-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
926-929 IJSRSET1622283   Technoscience Academy

Cite This Article

Glen Paul, Sutharson, Ramachandran.S.N, Mohan Kumar. S, R. Gunasekari , "Indirect Vector Control Drive with PI Controller", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.926-929, March-April-2016.
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