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

  • Dr. M Vijaya kumar JNTUA College of Engineering, Ananatapur, Andhra Pradesh
  • M Anka Rao JNTUA College of Engineering, Ananatapur, Andhra Pradesh
  • N Premanath Kumar JNTUA College of Engineering, Ananatapur, Andhra Pradesh

Abstract

This paper describe 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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Author Biographies

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

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Published
2017-10-01
How to Cite
KUMAR, Dr. M Vijaya; RAO, M Anka; KUMAR, N Premanath. Speed Control of Parallel Connected DSIM Fed by Six Phase Inverter with IFOC Strategy Using ANFIS. International Journal of Research and Engineering, [S.l.], v. 4, n. 9, p. 244-250, oct. 2017. ISSN 2348-7860. Available at: <http://digital.ijre.org/index.php/int_j_res_eng/article/view/298>. Date accessed: 17 nov. 2017.