Performance of Five Phase Induction Machine for Open Phase Faults using Harmonic Balance Technique
Dr. B. Jyothi1, P. Bhavana2

1Dr. B. Jyothi, Asst. Prof., Department of EEE, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India.
2P. Bhavana, Asst. Prof., Department of EEE, SRK Institute of Technology, Enikepadu, Vaddeswaram (A.P), India.

Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 1717-1725 | Volume-8 Issue-5, June 2019 | Retrieval Number: E3121038519/19©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: In recent times, five phase Induction machines are extensively used in the industrial drive systems over the preceding three decades as a resource of converting electric power to mechanical power and in all realistic applications where capricious speed is required. This is because of its sturdiness adaptability and consistency. The imperative feature of machines with a high numeral of phases is their improved consistency, hence they can operate even one or two phases are missing. The paper primarily spotlight on the steady state and dynamic performance of five phase induction machine drive for open phase faults such as one phase, two phases (consecutive or non consecutive) and it is shown that, the five-phase machine can start and generate a high percentage of rated torque even one or two phases missing. In order to obtain the steady state and dynamic performance of five phase machine drive harmonic balance technique on the full-order differential equation model of the faulted machine in stationary reference frame is implemented. Simulation results are presented to calculate the harmonic components of speed and torque pulsations with MATLAB software.
Keywords: Dynamic And Steady State Performance, Five Phase Machine Drive, Harmonic Balance Technique, Phase Open Faults.

Scope of the Article: Machine Learning