In-Service Induction Motor Effi ciency Estimation using Adaptive Bacteria Foraging Optimization

Main Article Content

ณัฐดนัย เลิศชมภู
กิตติพงศ์ ตั๋นเมือง
อนุสรณ์ ยอดใจเพ็ชร
วิวัฒน์ ทิพจร

Abstract

This paper proposes effi ciency estimation of in-service induction motor to replace the
effi ciency estimation that required to stop or remove them from service. Adaptive bacteria
foraging optimization technique is applied to estimate the effi ciency using data from
measuring electrical voltage, current, and power that supply to the induction motor
during operation. The selected motors for evaluation are the motor model in computer
and the actual motor. The test results showed that the effi ciency estimation of the adaptive
bacteria foraging optimization technique convergence is better result than original bacteria
foraging optimization and this result is close to the shaft torque method than the equivalent
circuit method and the slip method. The average error from the test of the motor model is
1.78 % and the actual motor is 3.4 %.

Article Details

How to Cite
[1]
เลิศชมภู ณ., ตั๋นเมือง ก., ยอดใจเพ็ชร อ., and ทิพจร ว., “In-Service Induction Motor Effi ciency Estimation using Adaptive Bacteria Foraging Optimization”, RMUTI Journal, vol. 11, no. 1, pp. 44–56, Apr. 2018.
Section
Research article

References

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