Pressure sensor temperature compensation method and computer readable storage medium

Abstract

The invention discloses a pressure sensor temperature compensation method. The method comprises the following steps: (1) acquiring a corresponding relation between pressure deviation and temperature change under different output voltages, and taking the corresponding relation as a training sample; (2) obtaining a DCQPSO-MKRVM model by using the training sample; (3) inputting the training sample into the DCQPSO-MKRVM model to obtain a pressure deviation estimation model of the corresponding pressure sensor; and (4) calculating by combining the estimated pressure deviation value with a theoretical pressure value under a corresponding voltage, completing temperature compensation of the pressure sensor, and obtaining a real pressure-voltage response curve of the pressure sensor under different temperatures. The invention further discloses a computer readable storage medium comprising the pressure sensor temperature compensation method. The estimation precision can be effectively improved, the temperature compensation precision after estimation is improved, meanwhile, the output characteristics of the pressure sensor are reserved, and stable and reliable work of the pressure sensor is ensured.

Description

technical field [0001] The invention belongs to the field of pressure sensor temperature compensation, and in particular relates to a pressure sensor temperature compensation method and a computer-readable storage medium. Background technique [0002] In meteorology and environmental science, pressure plays an important role in activities such as weather forecasting, climate analysis, analysis of environmental evolution, and aerospace applications. Due to low cost, good precision, high sensitivity, good linearity, small size, and mature manufacturing technology, silicon piezoresistive pressure sensors have become the most commonly used MEMS devices and widely used flexible Pressure Sensor. However, due to the characteristics of the material, many piezoresistive pressure sensors limit their application temperature range due to their excessively high temperature sensitivity coefficient. Therefore, temperature compensation must be carried out on it. In the current research, t...

AI Technical Summary

Problems solved by technology

At the same time, the performance of the correlation vector machine is greatly affected by the kernel function, and the generalization performance of the single-core correlation vector machine tends to fall into a suboptimal state, which leads to estimation errors and reduces the estimation accuracy.

Images