Umudike Journal of Engineering and Technology

Michael Okpara University of Agriculture, Umudike


MODELLING MULTIPHASE INDUCTION MACHINE FOR TORQUE IMPROVEMENT

Akpama, E. J.
Department of Elect/Elect Engineering Cross River University of Technology Calabar, Cross River State, Nigeria

Okoro, O. I.
Department of Elect/Elect Engineering Michael Okpara University of Agriculture Umudike, Abia State, Nigeria



ABSTRACT

Induction motors has become a dependable industrial process component, yet the power demand by induction motors is high compared to other power appliances. Therefore, the efficient use of energy in the application of consuming appliances is solicited by power producers.  There is a need to physically redesign the induction motor to make them more energy efficient than the normal motors. One the ways of doing this is to convert the normal three phase machine into multiphase. Common among the multiphase systems is the six-phase due the ease of conversion from the normal three phase to six phase. The merits of multiphase compared to the three phase counterpart are numerous. Therefore, this paper investigates torque improvement using a six phase induction machine. The paper models and simulates six phase induction machine and compares the results with that of a simulated three phase machine. The results show that, there is torque improvement in the six-phase machine, a merit that could be deployed in industrial drive systems.


Keywords: Six phase induction machine, Simulation, System modelling, Energy efficiency


View: 246 | Download: 9

Published
Monday, June 22, 2015

Issue
Vol. 1 No. 1, June 2015

Article Section
GENERAL

The contents of the articles are the sole opinion of the author(s) and not of UJET.


Open Access
Umudike Journal of Engineering and Technology makes abstracts and full texts of all articles published freely available to everyone immediately after publication thereby enabling the accessibility of research articles by the global community without hindrance through the internet.

Indexing and Abstracting
We are index in Google Scholar, AJOL, and EBSCO.