Keywords: capacitive sensor, measuring circuit, simulation modeling, multi-element circuit, submodel
Simulation modeling features of capacitive sensor measurement circuits
UDC 621.317.73
DOI: 10.26102/2310-6018/2022.36.1.017
The main universal and effective method of researching numerous technical systems and objects is the implementation of simulation modeling in special software, for example, SimInTech (Simulation In Technic), which is a unique software package that makes it possible to combine calculation projects and schemes with various mathematical, physical, electrical, hydraulic and other processes in real time. This feature of the SimInTech environment enables to simulate measuring circuits based on the original method of determining the capacitive sensor parameters, which consists in a two-stage measurement algorithm in steady-state and transient modes of the circuit under study. Using the example of the specified measuring circuit, the features of constructing its model by means of a built-in programming language, the development of custom blocks of a capacitive sensor, an operational amplifier, a sampling and storage device are shown. In addition, a study of the random component of the sensor parameter measure error, when the accuracy of voltage sampling changes, was carried out and the possibility of performing measurements with an error not exceeding 0.5% was confirmed. The materials of the article are of practical value for specialists in the field of control and measuring technology since the application of the SimInTech dynamic modeling environment for building models of measuring circuits will facilitate theoretical research relating to multi-element circuits and objects represented by them.
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Keywords: capacitive sensor, measuring circuit, simulation modeling, multi-element circuit, submodel
For citation: Mishukov S.V. Simulation modeling features of capacitive sensor measurement circuits. Modeling, Optimization and Information Technology. 2022;10(1). URL: https://moitvivt.ru/ru/journal/pdf?id=1127 DOI: 10.26102/2310-6018/2022.36.1.017 (In Russ).
Received 04.01.2022
Revised 16.02.2022
Accepted 25.02.2022
Published 31.03.2022