On the example of a pressure sensor, the problem of selecting a model and parameters of the conversion function of a microprocessor sensor is considered. The conversion function is based on a mathematical model that associates the electrical signal coming from the sensor's measuring transducer with the value of a physical quantity. The model of the conversion function of a microprocessor sensor must repeat the real spatial dependence of the electrical signal on the measured value and take into account the influence of external factors, such as temperature. Microprocessor sensors are used to measure the parameters of an object with a given accuracy. The main contribution to the measurement error is made by the inaccuracy of the approximation of the real transformation function by its model. The need to achieve the optimal level of parameter measurement error in the system, taking into account the complexity and cost of measurements, requires the control of the sensor error. For this purpose, various models and methods of approximation are presented. For efficient error control, a method of multi-segment spatial approximation based on models of linear or non-linear spatial elements is proposed. The error control procedure is formulated. The procedure for using the model of multi-segment spatial approximation of the transformation characteristic for pressure calculations taking into account the influence of temperature is based on the combined use of linear and non-linear spatial elements within the same model. The segment type selection procedure should begin with an assessment of the possibility of using a linear spatial element first, and if it is impossible to meet the accuracy requirements, an analysis of the use of a non-linear element. The method allows you to change the types and configuration of spatial elements and in this way influence the measurement error. The advantages of this approach are confirmed by the simulation results.
