Comparative Analysis of Current Transducers for Development of Smart Plug through Rank Order Centroid Method

The development of electronic design evolves every day. The adequate selection of electronic components is at the heart of a project's success. Therefore, it is necessary to make a preliminary study of the characteristics of the components to be used in order to select the most appropriate ones for each application. For a smart plug project, an essential part is the current measurement system where the transducer represents a critical component. In this context, this paper makes a comparative study among three current transducer technologies: hall effect sensor, current transformer (CT) and shunt resistor. The applied current was measured by conducting a test using an existing sensor available on the market for each technology. In addition, a comparative analysis of the characteristics of the transducers was carried out and for some transducers both qualitative and quantitative analysis were undertaken. Finally, a multicriteria technique is used in the selection of transducers, taking into consideration the weight defined for each criteria in the project, using the mathematical process ROC (Rank Order Centroid). From the analysis, we can state that the hall effect sensor presents the best results when compared to the other transducers.

[1]  Ernest Otto Doebelin,et al.  Measurement Systems Application and Design , 1966 .

[2]  F. H. Barron,et al.  Selecting a best multiattribute alternative with partial information about attribute weights , 1992 .

[3]  Guoxing Wang,et al.  Hall sensor system design and modeling for current-measurement in power meters , 2016, 2016 28th International Conference on Microelectronics (ICM).

[4]  Bruce E. Barrett,et al.  The efficacy of SMARTER — Simple Multi-Attribute Rating Technique Extended to Ranking , 1996 .

[5]  Viorel Miron-Alexe.  Comparative study regarding measurements of different AC current sensors , 2016, 2016 International Symposium on Fundamentals of Electrical Engineering (ISFEE).

[6]  Bruce E. Barrett,et al.  Decision quality using ranked attribute weights , 1996 .

[7]  C. Hwang.  Multiple Objective Decision Making - Methods and Applications: A State-of-the-Art Survey , 1979 .

[8]  José Rui Figueira,et al.  Designing a municipal sustainable energy strategy using multi-criteria decision analysis , 2018 .

[9]  Ching-Lai Hwang,et al.  Multiple Attribute Decision Making: Methods and Applications - A State-of-the-Art Survey , 1981, Lecture Notes in Economics and Mathematical Systems.

[10]  J.D. van Wyk,et al.  An overview of integratable current sensor technologies , 2003, 38th IAS Annual Meeting on Conference Record of the Industry Applications Conference, 2003..

[11]  Theodor J. Stewart,et al.  Multiple Criteria Decision Analysis , 2001 .

[12]  Ahmed S. Musleh,et al.  Design and implementation of smart plug: An Internet of Things (IoT) approach , 2017, 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA).

[13]  Jo Ueyama,et al.  A Low-Cost Smart Home Automation to Enhance Decision-Making based on Fog Computing and Computational Intelligence , 2018, IEEE Latin America Transactions.