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ISSN 1999-9429 print
ISSN 2311-3103 online
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  • TEMPERATURE EFFECT COMPENSATION IN AVIATION PIEZORESISTIVE PRESSURE SENSORS

    М. Е. Drobynin, Davud Mokhammed Al-Tai Omar, E.V. Filina, P.A. L'vov, S.A. Kuzin
    2021-12-24
    Abstract ▼

    Currently, piezoresistive pressure sensors (PDS) find expanded applications in various microelectronic
    devices used in aviation technology. The behavior of the electrical signal of such
    PDS mainly depends on the ambient temperature. It is known that the temperature drift of the PDS
    output signal is influenced by various factors: the temperature effect, the dependence of the resistance
    of the sensitive element on the concentration of impurities, the dependence of the Young's
    modulus of the sensor membrane and substrate materials on temperature, etc. It was found that the
    previously developed analytical calibration model of the sensor output signal, which takes into
    account the models describing individual temperature effects, does not allow the pressure to be
    measured with the required accuracy in the temperature range characteristic of aviation equipment
    from –60 C to 140 C. Therefore, conventional polynomial mathematical models are used to
    describe the dependence of the PDS output signal on the measured pressure and temperature.
    The work uses a traditional approach, when the dependence of the output voltage on pressure is represented using a polynomial of relatively low order, and the dependences of the coefficients of
    this polynomial on temperature are also specified by the corresponding polynomials. Unfortunately,
    the temperature dependences of the coefficients are adequately described only by high-order
    polynomials (at least 7), which complicates the model identification procedure and leads to computation
    errors. Therefore, the authors proposed to look for the dependence of the coefficients on
    temperature in the form of cubic splines. The paper describes in detail the identification technique
    of the polynomial model under consideration and obtains expressions for correcting the PDS readings
    when measuring pressure in wide temperature ranges. In order to experimentally confirm the
    efficiency of the proposed method, an intelligent industrial automated system for the calibration of
    traffic rules, described in the work, was used. It is shown how it can be used to take experimental
    data to calibrate the sensor readings over a wide temperature range, and the procedure for identifying
    the mathematical model of the pressure sensor required to minimize the cost of its certification
    is described. The results of experimental studies of specific pressure sensors used in aviation
    technology are presented.

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