Analysis of Fuzzy Logic Based Fault Detection for Three Phase Induction Motor Drive System

In most of the industries monitoring the condition of induction motor is the most difficult one and also the essential need for maintaining the performance. The proposed work on this paper is to develop a model for monitoring the condition of the DTC induction motor drive using advanced soft computing technique, fuzzy logic.This paper presents the mathematical modeling of three phase induction motor drives fed by three phase voltage source inverter using direct torque control strategy. Hence it is necessary that these machines work all the time with its superior quality. And if any fault occurs in machine, important to identify and diagnosis of the particular fault with minimum time. Here direct torque control of induction motor is developed and also various fault issues of induction motor is presented with the help of fuzzy based fault detection system using MATLAB/SIMULINK software. An intelligent modeling technique is adopted as an identifier for various faults. The three phase stator currents are estimated and applied as input to the fuzzy systems. In this model, time act as an important parameter either in fault detection or in decision making for suitable corrective action according to the type of the fault occurs.