Modeling of Three Phase Induction Motor with Dtc Drive Fault Analysis using Fuzzy Logic
Abarna J1, Velnath R2
1Abarna J, Department of Electronics and Instrumentation Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu, India.
2Velnath R, , Department of Electronics and Instrumentation Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu, India.
Manuscript received on April 01, 2020. | Revised Manuscript received on April 25, 2020. | Manuscript published on May 30, 2020. | PP: 1196-1202 | Volume-9 Issue-1, May 2020. | Retrieval Number: F9824038620/2020©BEIESP | DOI: 10.35940/ijrte.F9824.059120
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Induction motor, Faults, DTC drive, Space Vector PWM, Hysteresis controller, Fuzzy monitoring system.
Scope of the Article: Fuzzy Logic