Treffer: Procedure Proposal for Minimising the Dynamic Error of Second-Order Sensors.

Title:
Procedure Proposal for Minimising the Dynamic Error of Second-Order Sensors.
Authors:
Tomczyk K; Faculty of Electrical and Computer Engineering, Cracow University of Technology, Warszawska 24, 31-155 Krakow, Poland., Kowalczyk M; Faculty of Mechanical Engineering, Cracow University of Technology, Jana Pawła II 37 Avenue, 31-864 Krakow, Poland., Ostrowska K; Faculty of Mechanical Engineering, Cracow University of Technology, Jana Pawła II 37 Avenue, 31-864 Krakow, Poland.
Source:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Feb 28; Vol. 22 (5). Date of Electronic Publication: 2022 Feb 28.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Imprint Name(s):
Original Publication: Basel, Switzerland : MDPI, c2000-
MeSH Terms:
Records* , Signal Processing, Computer-Assisted*, Monte Carlo Method
References:
Micromachines (Basel). 2018 Nov 07;9(11):. (PMID: 30405027)
Sensors (Basel). 2020 Sep 11;20(18):. (PMID: 32933089)
Contributed Indexing:
Keywords: dynamic error; measurement accuracy; second-order sensors
Entry Date(s):
Date Created: 20220310 Date Completed: 20220314 Latest Revision: 20220317
Update Code:
20250114
PubMed Central ID:
PMC8914898
DOI:
10.3390/s22051901
PMID:
35271047
Database:
MEDLINE

Weitere Informationen

This paper proposes the procedure for minimising the dynamic error in the time and frequency domains, based on the example of a second-order sensor. Our procedure includes three main steps: modelling of the sensors using the Monte Carlo (MC) method; determination of the maximum value of the dynamic error using the integral-square criterion (ISC); and optimisation of the parameters of the sensor model by minimising the ISC. The uncertainties associated with the modelling procedure and the MC method are also considered. The mathematical formulae necessary for implementation in a given programming language (MathCad, MATLAB, C, etc.) are presented in detail. The proposed procedure was implemented in the frequency domain, using MathCad 15, and applied to the example of the Althen 731-207 accelerometer. Validation of the proposed procedure was carried out using a digital signal processor of type TMS320C6713. The proposed procedure can increase the accuracy of the signal processing obtained at the output of sensors applied to a wide range of measurements.