Open AccessModeling of Three Phase Induction Motor with Dtc Drive Fault Analysis using Fuzzy Logic
Author(s) -
A. Fakharzadeh J.,
R Velnath
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.f9824.059120
Subject(s) - induction motor , fuzzy logic , fault (geology) , torque , control engineering , control theory (sociology) , computer science , direct torque control , fault detection and isolation , motor drive , fuzzy control system , engineering , automotive engineering , control (management) , voltage , artificial intelligence , electrical engineering , mechanical engineering , physics , seismology , geology , actuator , thermodynamics
Three phase induction motor drives are the most widely used drives in heavy load industries Because of its wide usage in industry, a small fault occurring in the motor drive may cause huge damage and results in failure of heavy machinaries.Inorder to avoid these failures, all the possible faults that may occur in induction motors are analysed. Based on the analysis performed, the parameters that may cause faults in the drive system are monitored. Even a minute change in the parameters are monitored using an intelligent control method named Fuzzy based monitoring system. In this monitoring system, induction motor drive is adopted with a direct torque control method to avoid the usual torque ripples present in the system. Thisintelligent fault monitoring system is used to take corrective measures within a specified time when the drive is implemented in an electric vehicle applications.