JEE_V8_N1_RP2 Mohammad Haseeb Khan Arshia Azam Journal on Electrical Engineering 2230 – 7176 8 1 25 30 Sensorless Control, MRAS, Fuzzy Logic Controller, Equilibrium Value, RRFLC This paper presents a novel method of reducing fuzzy rules present in a fuzzy logic controller. The proposed Reduced Rule Fuzzy Logic Controller (RRFLC) is used in Model Referencing Adaptive System (MRAS) based sensorless control of induction motor drive. To improve the performance of any fuzzy logic controller, it is required to increase the number of rules present in the rule base of FLC. This increases the computational memory and computational time required for processing, there by slowing down the response of the process or plant under control, induction motor in the present case. Hence, in this paper, a novel method of reducing rules using Equilibrium value is proposed in which the number of rules are reduced from 49 to 16 and at the same time the performance of the induction motor remains similar to that of large rules with a reduction of speed of induction motor by 2 rpm. Simulations results are presented and analyzed to show the effectiveness of the proposed method. July - September 2014 Copyright © 2014 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=2996