JEE_V6_N2_RP1 V.C.Veera Reddy Nageswara Prasad Thunga V. Chandra Jagan Mohan Journal on Electrical Engineering 2230 – 7176 6 2 1 8 Power Quality Improvement, Shunt Active Filter, Adaptive Neuro-Fuzzy Inference System (ANFIS), Takagi-Sugeno (TS) Fuzzy Logic Controller, Total Harmonic Distortion (THD), Distortion Power Factor This paper describes and compares the performance of Adaptive Neuro-Fuzzy, Takagi-Sugeno (TS) type Fuzzy Logic and the conventional Proportional Intergral (PI) controllers applied to three-phase Shunt Active Filter (ShAPF) for Power Quality improvement and reactive power compensation required by non-linear loads. The Simulation results show that the Adaptive Neuro-Fuzzy Inference System (ANFIS) proves to be better than the Fuzzy and PI controllers as it combines the best features of Neural Networks and Fuzzy Systems. October - December 2012 Copyright © 2012 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/ArticleHTML.aspx?articleID=2053