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A Simplified Indirect Technique for the Measurement of Mechanical Power in Three-Phase Asynchronous Motors

  • Giovanni Bucci , Fabrizio Ciancetta , Edoardo Fiorucci ORCID logo EMAIL logo , Antonio Ometto and Maria Anna Segreto
Published/Copyright: April 16, 2019

Abstract

This paper presents an indirect method for measuring the mechanical power produced by three-phase induction motors. The proposed technique is based on the hypothesis that three-phase induction motors are balanced systems that transform electrical power into mechanical one. The measurement of a single phase current is used to estimate the mechanical power generated at the axis. The relationship between electric current and mechanical power is generally non-linear. By expressing the quantities in p.u., this trend is approximated with a second order polynomial. From the analysis of the mechanical power characteristics related to 13 motors we obtained the parameters of the interpolating parabolic curves of motors from 1.1 kW to 75 kW rated power. The proposed technique can be easily adopted in order to monitor the mechanical power of three phase induction motors using only one phase current transducer. Starting from the motor nameplate no experimental measurement or other data are necessary to estimate the mechanical power. This technique can be widely used in low cost multipoint measurement system able to monitor the mechanical power where no other transducer or voltage divider are necessary.

References

[1] Bucci G, Ciancetta F, Dolce S, Fiorucci E, D’Innocenzo F. A low-cost power transducer for transient currents In: Conference Record – IEEE Instrumentation and Measurement Technology Conference. 2015-July, art. no. 7151455, 2015:1267–72.Search in Google Scholar

[2] Bucci G, Ciancetta F, D’Innocenzo F, Fiorucci E, Ometto A. Development of a low cost power meter based on a digital signal controller. Int J Emerg Electr Power Syst. 2018;19:1–15.10.1515/ijeeps-2017-0280Search in Google Scholar

[3] Bucci G, Fiorucci E, Ciancetta F, Luiso M. Measuring system for microelectric power. IEEE Trans Instrum Meas. 2014;63:410–21.10.1109/TIM.2013.2280475Search in Google Scholar

[4] Crotti G, Delle Femine A, Gallo D, Giordano D, Landi C, Letizia PS, et al. Calibration of current transformers in distorted conditions. J Phys Conf Ser. 2018;1065. DOI: 10.1088/1742-6596/1065/5/052033.Search in Google Scholar

[5] Cataliotti A, Cosentino V, Crotti G, Delle Femine A, Di Cara D, Gallo D, et al. Compensation of nonlinearity of voltage and current instrument transformers. In: IEEE Transactions on Instrumentation and Measurement. DOI: 10.1109/TIM.2018.2880060.Search in Google Scholar

[6] Ciancetta F, Fiorucci E, Gallo D, Landi C, Luiso M. A web service interface for a distributed measurement system based on decentralized sharing network. Sens Transd. 2013;153:209–18.Search in Google Scholar

[7] Moraes RM, Ribeiro LA, Jacobina CB, Lima AM Parameter estimation of induction machines by using its steady-state model and transfer function. In: IEEE International Electric Machines and Drives Conference. IEMDC 2003 – 3. art. no. 1210720, 2003:1965–71.Search in Google Scholar

[8] Sen PC. Principles of electric machines and power electronics, 3rd ed. Hoboken. NJ: John Wiley & Sons, 2013Search in Google Scholar

[9] Monjo L, Kojooyan-Jafari H, Corcoles F, Pedra J. Squirrel-cage induction motor parameter estimation using a variable frequency test. IEEE Trans Energy Convers. 2015;30:550–7.10.1109/TEC.2014.2362964Search in Google Scholar

[10] Pedra J, Corcoles F. Estimation of induction motor double-cage model parameters from manufacturer data. IEEE Trans Energy Convers. 2004;19:310–17. DOI: 10.1109/TEC.2003.822314.Search in Google Scholar

[11] Duan F, Zivanovic R, Al-Sarawi S, Mba D. Induction motor parameter estimation using sparse grid optimization algorithm. IEEE Trans Ind Inf. 2016;12:1453–61.10.1109/TII.2016.2573743Search in Google Scholar

[12] Telford D, Dunnigan MW, Williams BW. Online identification of induction machine electrical parameters for vector control loop tuning. IEEE Trans Ind Electron. 2003;50:253–61.10.1109/TIE.2003.809397Search in Google Scholar

[13] Wu R-C, Tseng Y-W, Chen C-Y. Estimating parameters of the induction machine by the polynomial regression. Appl Sci (Switzerland). 2018;8:1–13.10.3390/app8071073Search in Google Scholar

[14] Karrer S. Measurement and simulation of induction motor characteristics. Measurement. 1989;7:134–40.10.1016/0263-2241(89)90041-9Search in Google Scholar

[15] Bucci G, Ciancetta F, Fiorucci E, Ometto A. Uncertainty issues in direct and indirect efficiency determination for three-phase induction motors: remarks about the IEC 60034-2-1 standard. IEEE Trans Instrum Meas. 2016;65:2701–16.10.1109/TIM.2016.2599459Search in Google Scholar

[16] Esen GK, Özdemir E. A new field test method for determining energy efficiency of induction motor. IEEE Trans Instrum Meas. 2017;66:3170–9.10.1109/TIM.2017.2735718Search in Google Scholar

[17] Ciancetta F, D’Apice B, Gallo D, Landi C. Plug-n-play smart sensor network with dynamic web service. IEEE Trans Instrum Meas. 2008;57:2136–45. DOI: 10.1109/TIM.2008.920029..Search in Google Scholar

Received: 2018-10-19
Revised: 2019-02-27
Accepted: 2019-04-06
Published Online: 2019-04-16

© 2019 Walter de Gruyter GmbH, Berlin/Boston

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