A Memory-Efficient True-RMS Estimator in a Limited-Resources Hardware

Jose-Maria Flores-Arias, Manuel Ortiz-Lopez, Francisco J. Quiles Latorre, Francisco Jose Bellido-Outeiriño and Antonio Moreno-Muñoz
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Jose-Maria Flores-Arias: R&D Group ‘Industrial Electronic Instrumentation’, Universidad de Córdoba, 14071 Córdoba, Spain
Manuel Ortiz-Lopez: R&D Group ‘Industrial Electronic Instrumentation’, Universidad de Córdoba, 14071 Córdoba, Spain
Francisco J. Quiles Latorre: R&D Group ‘Industrial Electronic Instrumentation’, Universidad de Córdoba, 14071 Córdoba, Spain
Francisco Jose Bellido-Outeiriño: R&D Group ‘Industrial Electronic Instrumentation’, Universidad de Córdoba, 14071 Córdoba, Spain
Antonio Moreno-Muñoz: R&D Group ‘Industrial Electronic Instrumentation’, Universidad de Córdoba, 14071 Córdoba, Spain

Energies, 2019, vol. 12, issue 9, 1-18

Abstract: More and more human activities are increasingly dependent on the power quality energy they are supplied. In particular, those loads that have an electronic switching mode power supply (SMPS) and microcontrollers or microprocessors are very susceptible to de-energization of the AC line as voltage monitoring takes place on the DC end and may not have enough time to cope with a voltage event involving energy loss. There have been many proposals that analyze power quality or current consumption, even those using limited resources hardware or the classic formulas of discrete root mean square (RMS). In this proposal, an approximation to the problem by means of an RMS value estimator that uses as a base a microcontroller of basic range and low economic cost and algorithms of calculation of very low computational cost that elude complex arithmetic operation to controllers, such as powers or roots, is presented. The results of the experiments to which the proposal was subjected show its ability to provide an estimation of the RMS value of voltage with sufficient precision or an event alarm in less time than the options analyzed. The validation tests and functional comparison of the prototype which were carried out support its viability.

Keywords: RMS voltage estimation; low computational cost; limited resources hardware; power event detection; energizing warning (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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