Type-2 Neuro Fuzzy Current Controlled Inverter Fed Induction Motor Drive
R. Ramanjan Prasad1, G. Durga Sukumar2
1R.Ramanjan Prasad, VFSTR University, Vadlamudi, Guntur,
2G.Durga Sukumar, VITS, Deshmukhi, Nalgonda

Manuscript received on November 15, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on November 30, 2019. | PP: 93-100 | Volume-8 Issue-4, November 2019. | Retrieval Number: C6197098319/2019©BEIESP | DOI: 10.35940/ijrte.C6197.118419

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: As the conventional PI controller’s operation is not satisfactory due to the operating point oscillations in a closed loop system, intelligent based controllers are employed. This paper presents Neuro Type 2 fuzzy controlled (NT2FC) based speed controller in the IVC of induction motor. The advantage of T2NFC is the area of point of intersection of membership functions is less so the value obtained by the centroid method is more accurate compared to NT1FC system. This paper presents performance comparison of IVC of IMD with conventional PI, NT1FC and NT2FC. The tuning of type 2 fuzzy membership functions is done using neural network by applying LSE in forward pass and BP algorithm in backward pass. The experimental validation is also carried out using Dspace 1104 micro controller. The date of at this experimental validation has been taken from the simulation. It is carried out considering 2HP Induction motor and it is observed that the NT2FC gives better performance of IMD.
Keywords: Neuro Type-2 fuzzy controller (NT2FC), Neuro Type-1 Fuzzy Controller (NT1FC), Space vector modulation (SVM), Induction motor drive (IMD), Proportional and integral controller (PI) and Indirect Vector Control (IVC).
Scope of the Article: Fuzzy Logics.