Measurement device with learned sensor

Author

Pieniazek, Jacek ; Ciecinski, Piotr

Author_Institution

Fac. of Mech. Eng. & Aeronaut., Rzeszow Univ. of Technol., Rzeszow, Poland

fYear

2014

fDate

29-30 May 2014

Firstpage

260

Lastpage

264

Abstract

The main subject of the paper is calibration of the sensor by learning method of the fuzzy system. Fuzzy system is used for simultaneous compensation of the nonlinearity and temperature sensitivity. The compensation of pressure sensors is intended for application in the Air Data Computer. The results obtained experimentally show that fuzzy system is superior to the polynomial regressions because it is not necessary to compute high degree polynomials. After the compensation it is supposed measurement device can be periodically verified and if necessary corrected. General property of two-point correction is presented. In the case of tested sensor two-point re-calibration is assumed as being effective because of one-side nonlinearity.

Keywords

calibration; compensation; fuzzy systems; learning systems; pressure sensors; Air Data Computer; calibration; compensation; fuzzy system; learned sensor; learning method; measurement device; nonlinearity; pressure sensors; temperature sensitivity; two-point correction; Calibration; Computers; Fuzzy systems; Robot sensing systems; Temperature; Temperature measurement; Temperature sensors; error compensation; non-linearity; pressure sensor; temperature;

fLanguage

English

Publisher

ieee

Conference_Titel

Metrology for Aerospace (MetroAeroSpace), 2014 IEEE

Conference_Location

Benevento

Type

conf

DOI

10.1109/MetroAeroSpace.2014.6865931

Filename

6865931