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基于PSO-BP温度补偿算法的智能压力传感器设计

张凌峰 丁晓宇 潘慕绚

南京航空航天大学学报2025,Vol.57Issue(1):160-168,9.
南京航空航天大学学报2025,Vol.57Issue(1):160-168,9.DOI:10.16356/j.1005-2615.2025.01.016

基于PSO-BP温度补偿算法的智能压力传感器设计

Design of Intelligent Pressure Sensor Based on PSO-BP Temperature Compensation Algorithm

张凌峰 1丁晓宇 1潘慕绚1

作者信息

  • 1. 南京航空航天大学能源与动力学院,南京 210016
  • 折叠

摘要

Abstract

Pressure is an important physical signal that characterizes the operating performance of aero-engine.A design based on PSO-BP temperature compensation algorithm for intelligent pressure sensor is proposed for the high-precision measurement requirement of pressure signal.Micro-electro-mechanical system(MEMS)piezoresistive sensor is selected as the sensing module,and the hardware and software architecture of the intelligent pressure sensor is designed through modularization scheme.An embedded temperature compensation algorithm based on PSO-BP neural network is proposed to enhance the measurement accuracy in response to the problem of accuracy deviation of pressure sensor element due to temperature drift.The integration of hardware and software functions of intelligent sensor are carried out,and the pressure measurement experiments under different pressure and temperature conditions are conducted in order to verify the accuracy of intelligent sensor in the full range of operating conditions.The results show that the maximum full-scale error of the intelligent pressure sensor designed is 0.44%(Measurement range 0-4 MPa)after compensation,which improves the accuracy by at least 20%compared with temperature compensation algorithms such as the traditional interpolation method and polynomial fitting method,and the temperature compensation algorithm only takes 2 μs for a single time,which is valuable for engineering application.

关键词

航空发动机/MEMS压阻式智能压力传感器/模数转换驱动/温度补偿/PSO-BP神经网络

Key words

aircraft engine/MEMS piezoresistive intelligent pressure sensor/analog to digital conversion driver/temperature compensation/PSO-BP neural network

分类

航空航天

引用本文复制引用

张凌峰,丁晓宇,潘慕绚..基于PSO-BP温度补偿算法的智能压力传感器设计[J].南京航空航天大学学报,2025,57(1):160-168,9.

南京航空航天大学学报

OA北大核心

1005-2615

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