Loss and efficiency analysis of universal motor used in mixer grinder by mathematical modelling

Deekshitha S. Nayak, R. Shivarudra Swamy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

The universal motor works on both AC and DC supply and it is used in home appliances like fans, mixer grinder, refrigerator etc. It has been characterized to have higher power output with the smaller size and starting torque to be high at a lower speed and can carry high loads. In this paper, a mathematical model of the universal motor for a mixer grinder is proposed and developed using MATLAB/Simulink. The losses are obtained for both AC & DC fed universal motor. The motor is analysed in terms of its efficiency and torque characteristics at varied speeds. It has been observed that the efficiency and torque with respect to varied speed shows an improvement in DC in comparison with AC fed motor. In the 230V AC universal motor with speed of 18000 RPM, efficiency will be around 52.16% and remain will be the losses i.e. 47.84%. In the 220V DC universal motor, efficiency will be around 54.5% and remain will be the losses i.e. 45.5%. The efficiency of the DC operating condition is more than the efficiency of the AC operating condition of the universal motor.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages105-110
Number of pages6
ISBN (Electronic)9781538656549
DOIs
Publication statusPublished - 04-01-2019
Externally publishedYes
Event2018 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2018 - Shah Alam, Malaysia
Duration: 20-10-2018 → …

Publication series

NameProceedings - 2018 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2018

Conference

Conference2018 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2018
Country/TerritoryMalaysia
CityShah Alam
Period20-10-18 → …

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Control and Optimization
  • Modelling and Simulation

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