Sensors 2014, 14(7), 12174-12190; doi:10.3390/s140712174
Article

A Smart High Accuracy Silicon Piezoresistive Pressure Sensor Temperature Compensation System

Received: 24 March 2014; in revised form: 9 June 2014 / Accepted: 2 July 2014 / Published: 8 July 2014
(This article belongs to the Section Physical Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Theoretical analysis in this paper indicates that the accuracy of a silicon piezoresistive pressure sensor is mainly affected by thermal drift, and varies nonlinearly with the temperature. Here, a smart temperature compensation system to reduce its effect on accuracy is proposed. Firstly, an effective conditioning circuit for signal processing and data acquisition is designed. The hardware to implement the system is fabricated. Then, a program is developed on LabVIEW which incorporates an extreme learning machine (ELM) as the calibration algorithm for the pressure drift. The implementation of the algorithm was ported to a micro-control unit (MCU) after calibration in the computer. Practical pressure measurement experiments are carried out to verify the system’s performance. The temperature compensation is solved in the interval from −40 to 85 °C. The compensated sensor is aimed at providing pressure measurement in oil-gas pipelines. Compared with other algorithms, ELM acquires higher accuracy and is more suitable for batch compensation because of its higher generalization and faster learning speed. The accuracy, linearity, zero temperature coefficient and sensitivity temperature coefficient of the tested sensor are 2.57% FS, 2.49% FS, 8.1 × 10−5/°C and 29.5 × 10−5/°C before compensation, and are improved to 0.13%FS, 0.15%FS, 1.17 × 10−5/°C and 2.1 × 10−5/°C respectively, after compensation. The experimental results demonstrate that the proposed system is valid for the temperature compensation and high accuracy requirement of the sensor.
Keywords: silicon piezoresistive pressure sensor; artificial neural networks; polynomial fitting; extreme learning machine; temperature compensation
PDF Full-text Download PDF Full-Text [2129 KB, uploaded 8 July 2014 14:23 CEST]

Export to BibTeX |
EndNote


MDPI and ACS Style

Zhou, G.; Zhao, Y.; Guo, F.; Xu, W. A Smart High Accuracy Silicon Piezoresistive Pressure Sensor Temperature Compensation System. Sensors 2014, 14, 12174-12190.

AMA Style

Zhou G, Zhao Y, Guo F, Xu W. A Smart High Accuracy Silicon Piezoresistive Pressure Sensor Temperature Compensation System. Sensors. 2014; 14(7):12174-12190.

Chicago/Turabian Style

Zhou, Guanwu; Zhao, Yulong; Guo, Fangfang; Xu, Wenju. 2014. "A Smart High Accuracy Silicon Piezoresistive Pressure Sensor Temperature Compensation System." Sensors 14, no. 7: 12174-12190.

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert