Abstract

In this paper efficiency improvement of a Six-phase Induction Machine (6PIM) with fuzzy Anfis method is presented. Six phase induction machine is supplied by SPWM (Sine Pulse Width Modulation). The motor efficiency in low speed or low load conditions (under nominal point) is low. The purpose of this paper is to reduce core losses of six phase induction motor in these conditions. Fuzzy flux search controller is a simple technique and robust against parameter changes that can be easily implemented. Loss minimum point of six phase induction motor is related to stator current, thus by decreasing of current the loss is decreased. Results are presented in the paper to verify the effectiveness of the proposed approach. DOI: http://dx.doi.org/10.5755/j01.eee.19.10.5895

Highlights

  • Multi-phase motor drives have been studied for more than three decades, but today its application has increased

  • Loss Model Control (LMC) technique depends on loss model of motor and it can be applied in a suitable algorithm to minimize losses and improve efficiency [2]

  • We can say that motor efficiency improvement in the 10 % of rated load is near to 100 %

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Summary

INTRODUCTION

Multi-phase motor drives have been studied for more than three decades, but today its application has increased. LMC technique depends on loss model of motor and it can be applied in a suitable algorithm to minimize losses and improve efficiency [2]. This is implemented through computing the various loss models by the function of various measurement parameters of machine like currents, flux, and etc. A dynamic search algorithm based on fuzzy loss model controller for the online efficiency optimization of induction motor is presented in [9], [10]. An Anfis fuzzy search controller reduces stator currents to minimize a six- phase induction motor loss.

LOSS MODEL OF SIX-PHASE INDUCTION MOTOR
COMPARISON OF MINIMUM LOSSES POINT AND MINIMUM STATOR CURRENT POINT
FUZZY CONTROLLER FOR EFFICIENCY OPTIMIZATION
90 W Stator Resistance
SIMULATION RESULTS
SIMULATION RESULTS FOR FUZZY-ANFIS EFFICIENCY OPTIMIZATION

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