Type-2 Neuro Fuzzy Current Controlled Inverter Fed Induction Motor Drive

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.