Diagnosis of Various Faults in MLI Fed Induction Drive Using Fuzzy Logic
Y. Krishna Priya1, M. Vijaya Kumar2
1Y. Krishnapriya, Department of Electrical and Electronics Engineering, Anantha Lakshmi Institute of Technology & Sciences, Ananthapur, A.P, India.
2Dr. M.Vijaya Kumar, Professor, Department of Electrical & Electronics Engineering, JNTUA Engineering College, Ananthapur, A.P, India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 743-746 | Volume-8 Issue-8, June 2019 | Retrieval Number: D2817028419/19©BEIESP
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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: Multilevel inverters (MLI) are massively used in numerous fields. Among the various Multi level Inverters, the Three-Level Neutral Point-Clamped (NPC) inverter was widely used in medium and high voltage power conversions. Its use in low-voltage applications has increased. The three-level inverters have problems due to faulty switches. Failures of the components in static energy conversion systems results into severe and widespread damages in the converter. The system effects are more severe in switch short than in switch open, if no protective measures are taken in time. In order to provide protection from the faults there is a need to find which fault is occurring and respective mitigation techniques should be applied. In this paper, we are identifying the faults using a fuzzy approach. Here the type of the fault can be diagnosed based on the voltage and total harmonic distortion at the respective faults. This identification process was studied using MATLAB/SIMULINK software through simulations.
Keyword: Fuzzy logic, Induction motor drive, Neutral point clamped multilevel inverter, Open and shortfaults.
Scope of the Article: Design and Diagnosis.