SELECTING FEATURES OF THE MODEL TRANSFORMATION CHARACTERISTICS FOR AN INTELLIGENT PHYSICAL QUANTITY SENSOR
Abstract
The paper discusses the issues of choosing the type and parameters of the model of the transformation
characteristic of an intelligent sensor of physical quantities using the example of a pressure
sensor. The transformation characteristic of an intelligent sensor is a mathematical, algorithmic
and software for calculating a physical quantity based on electrical signals that come from the measuring
channels of the sensor. The model of the conversion characteristic should be adapted to the
configuration of the conversion function of the sensor's sensitive element and the behavior of this
function under the influence of external destabilizing factors. The paper considers various models of
the conversion characteristics, identifies the features of their application, advantages and disadvantages,
attainable levels of approximation error of the real characteristic, which affect the final
measurement accuracy of the smart sensor. Smart sensors are used for measuring physical quantities
in various technical systems and the requirements for measurement accuracy in real-life tasks are
different. The measurement accuracy is largely determined by the degree of approximation of the real
characteristics of the sensor by its mathematical model. The more complex the model, the more difficult
it is to implement in the sensor, and the higher the measurement cost. Therefore, it is important
to control the conversion characteristic approximation error in order to use the sensor efficiently. To
control the approximation error of the transformation characteristic of an intelligent pressure sensor,
it is proposed to use the method of multi-segment spatial approximation, and use models of linear or
nonlinear spatial elements as segments. The basic mathematical expressions, the error control
scheme are determined. The results of modeling are presented, which show the possibility and advantages
of using the method for the formation of spatial models of the transformation characteristics,
which are adaptive to changes in the real transformation function of the sensor, take into account
the influence of external factors on the measurement results. In addition, the method allows you
to modify the current spatial approximation model by changing the types of local spatial elements
and, thus, to control the measurement error
References
Sensors, Sensors and Actuators A: Physical, 1994, Vol. 44, Issue 2, pp. 95-102.
2. Bobrovnikov N.R., Yarkin S.V., Gridin Yu.N., Strygin V.D., Chertov E.D. Matematicheskoe
obespechenie mikroprotsessornykh preobrazovateley analogovykh pnevmaticheskikh signalov
[Mathematical support of microprocessor converters of analog pneumatic signals], Pribory i
sistemy. Upravlenie, kontrol', diagnostika [Devices and systems. Management, control, diagnostics],
2002, No. 2, pp. 36-39.
3. Bartkovjak J., Karovičová M. Approximation by Rational Functions, Measurement Science
Review, 2001, Vol. 1, No. 1, pp. 63-65.
4. Gutnikov V.S. Tendentsii razvitiya elektronnykh izmeritel'nykh preobrazovateley dlya
datchikov [Trends in the development of electronic measuring transducers for sensors],
Pribory i sistemy upravleniya [Instruments and control systems], 1990, No. 10, pp. 32-35.
5. Bluemm C. Weiss R. Weigel R. Brenk D. Correcting nonlinearity and temperature influence of
sensors through B-spline modeling, Industrial Electronics (ISIE). 2010. IEEE International
Symposium. 4-7 July 2010, pp. 3356-3361.
6. Gorbunov S.F., Tsypin B.V. Linearization of calibration characteristics of capacitance pressure
sensors, Measurement Techniques, 2011, Vol. 53, No. 10, pp. 1113-1117.
7. Patra J.C. Chakraborty G. Meher P.K. Neural-Network-Based Robust Linearization and Compensation
Technique for Sensors Under Non-linear Environmental Influences, IEEE Transactions on
Circuits and Systems I: Regular Papers, 2008, Vol. 55, Issue 5, pp.1316-1327.
8. Mukhataev N.A. Algoritm linearizatsii i temperaturnoy kompensatsii kharakteristik
preobrazovateley [The algorithm of linearization and temperature compensation of converter
characteristics], Mater. tret'ey nauchno-prakticheskoy konferentsii «Perspektivnye sistemy i
zadachi upravleniya» [Materials of the third scientific and practical conference "Perspective
systems and management tasks"]. Vol. 2. Taganrog, TTI YuFU, 2008, pp. 74-76.
9. Klevtsov S.I., Lin'kov V.S. Prostranstvennaya approksimatsiya graduirovochnoy kharakteristiki
datchika davleniya [Spatial approximation of the calibration characteristic of the pressure sensor],
Mater. mezhdunarodnoy nauchnoy konferentsii "Analiz i sintez kak metody nauchnogo
poznaniya» [Materials of the international scientific conference "Analysis and synthesis as
methods of scientific cognition"]. Part 2. Taganrog: Izd-vo "Anton", TRTU, 2004, pp. 8-15.
10. Shaponich D., Zhigich A. Korrektsiya p'ezorezistivnogo datchika davleniya s ispol'zovaniem
mikrokontrollera [Correction of a piezoresistive pressure sensor using a microcontroller], Pribory i
tekhnika eksperimenta [Instruments and techniques of the experiment], 2001, No. 1, pp. 54-60.
11. Klevtsov S.I. Prostranstvenno-polinomial'nye modeli approksimatsii graduirovochnoy
kharakteristiki intellektual'nogo datchika [Spatial-polynomial models of approximation of the
calibration characteristic of an intelligent sensor] Tr. mezhdunarodnykh nauchnotekhnicheskikh
konferentsiy "Intellektual'nye sistemy" (IEEE AIS'04) i "Intellektual'nye SAPR"
(CAD-2004): Nauchnye izdaniya v 3-kh t. T. 2 [Proceedings of the international scientific and
technical conferences "Intelligent Systems" (IEEE AIS '04) and "Intelligent CAD" (CAD-
2004). Scientific publications in 3 vol. Vol. 2]. Moscow: Izd-vo fiziko-matematicheskoy
literatury, 2004, pp. 309-314.
12. Klevtsov S.I. Modeli i metody postroeniya pretsizionnykh graduirovochnykh kharakteristik
intellektual'nykh datchikov davleniya [Models and methods for constructing precision calibration
characteristics of intelligent pressure sensors], Izvestiya TRTU [Izvestiya TSURE], 2007,
No. 3, pp. 110-118.
13. Klevtsov S.I., Klevtsova A.B. Mul'tisegmentnaya prostranstvennaya model' graduirovochnoy
kharakteristiki intellektual'nogo datchika [Multi-segment spatial model of the calibration characteristic
of an intelligent sensor], Mater. mezhdunarodnoy nauchnoy konferentsii "TSifrovye
metody i tekhnologii" [Materials of the international scientific conference "Digital methods
and technologies"]. Part 4. Taganrog: Izd-vo "Anton", TRTU, 2005, pp. 21-26.
14. P'yavchenko O.N., Mokrov E.A., Panich A.E., Klevtsov S.I., P'yavchenko A.O., Fedorov A.G.,
Udod E.V. Metody, modeli, algoritmy i arkhitektura pretsizionnykh intellektual'nykh
datchikov davleniya [Methods, models, algorithms and architecture of precision intelligent
pressure sensors]. Taganrog: Izd-vo TTI YuFU, 2007, 130 p.
15. Klevtsov S.I. Osobennosti primeneniya modeley graduirovochnykh kharakteristik datchikov davleniya
[Features of application of models of calibration characteristics of pressure sensors], Izvestiya YuFU.
Tekhnicheskie nauki [Izvestiya SFedU. Engineering Sciences], 2008, No. 1 (78), pp. 25-26.
16. Klevtsov S.I., Udod E.V. Prostranstvennaya ploskostnaya model' graduirovochnoy
kharakteristiki intellektual'nogo datchika davleniya [Spatial planar model of the calibration
characteristic of an intelligent pressure sensor], Izvestiya TRTU [Izvestiya TSURE], 2005,
No. 1, pp. 99-107.
17. P'yavchenko O.N. Klevtsov S.I. Povyshenie tochnosti obrabotki rezul'tatov izmereniya v
intellektual'nykh datchikakh–izmeritelyakh fizicheskikh signalov [Improving the accuracy of
processing measurement results in intelligent sensors-meters of physical signals], Elektronika i
sistemy upravleniya [Electronics and control systems], 2006, No. 1, pp. 16-21.
18. Semenov L.A., Siraya T.N. Metody postroeniya graduirovochnykh kharakteristik sredstv
izmereniy [Methods for constructing calibration characteristics of measuring instruments].
Moscow: Izd-vo standartov, 1986.
19. Klevtsov S.I. Mul'tisegmentnaya prostranstvennaya approksimatsiya graduirovochnoy
kharakteristiki mikroprotsessornogo datchika [Multi-segment spatial approximation of the calibration
characteristic of a microprocessor sensor], Metrologiya [Metrology], 2011, No. 7,
pp. 26-36.
20. Klevtsov and Udod Y. Model of the Spatial Conversion Characteristics for Graduation of the
Microprocessor-Based Sensor’s with Indemnification of Influence Destabilizing Factors, in
Proc. 2015 International Siberian Conference on Control and Communications (SIBCON),
2015, pp. 1-5. DOI: 10.1109 / SIBCON.2015.7147097.
