Speed Control of Parallel Connected DSIM Fed by Six Phase Inverter with IFOC Strategy Using ANFIS

Authors

  • M Anka Rao  Assistant Professor, Dept.of Electrical Engineering, JNTUA College of Engineering, Ananatapur, Andhra Pradesh, India
  • Dr. M Vijayakumar  Professor, Dept.of Electrical Engineering, JNTUA College of Engineering, Ananatapur, Andhra Pradesh, India
  • N Premanath Kumar  PG Scholar, Dept.of Electrical Engineering, JNTUA College of Engineering, Ananatapur, Andhra Pradesh, India

Keywords:

Double Star Induction Motor (DSIM), Fuzzy logic controller (FLC), Indirect Field Oriented Control (IFOC), Adaptive Neuro Fuzzy Inference (ANFIS), and Six Phase Inverter.

Abstract

This paper describes the presentation of an IM for high load and high-power applications, this kind of applications the motor have a complex coupling between the field and torque. This can be achieve with assist of Indirect Field Oriented Control (IFOC) and parallel connection of two motors. The benefit is that parallel connection can provide the decoupled control of flux and torque for each motor and their concert in different operating environments. The Speed control of two Double Star Induction Motors working in parallel configuration with IFOC using a Fuzzy Logic Controller (FLC) and Adaptive Neuro Fuzzy Inference (ANFIS) controller is investigate in different operating environments. The two motors are connected in parallel at the output of a single six-phase PWM based inverter fed from a DC source. Performance of the projected method under load disturbances is studied through simulation using a MATLAB and evaluation of speed response of two controllers is analyzed.

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International Journal of Scientific Research in Science and Technology

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Published

2017-10-31

Issue

Volume 3, Issue 7, September-October-2017

Section

Research Articles

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How to Cite

[1]
M Anka Rao, Dr. M Vijayakumar, N Premanath Kumar, " Speed Control of Parallel Connected DSIM Fed by Six Phase Inverter with IFOC Strategy Using ANFIS, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 3, Issue 7, pp.617-624, September-October-2017.