一种应用于航空发动机的智能压力传感器系统
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- 英文论文题名：An Intelligent Pressure Sensor System for Aero-Engine
- 论文作者：蒋文亮 ; 刘晨 ; 侯学彦 ; 黄金泉
- 英文论文作者：JIANG Wen-liang ; LIU Chen ; HOU Xue-yan ; HUANG Jin-quan ; Jiangsu Province Key Laboratory of Aerospace Power System ; College of Energy and Power Engineering ; Nanjing University of Aeronautics and Astronautics ; AVIC China Aviation Motor Control System Institute ; Collaborative Innovation Center for Advanced Aero-engine
- 年：2016
- 作者机构：南京航空航天大学能源与动力学院江苏省航空动力系统重点实验室;中航工业航空动力控制系统研究所;先进航空发动机协同创新中心;
- 论文关键词：FADEC系统 ; 航空发动机 ; 高精度 ; 智能压力传感器 ; 温度补偿 ; 二维线性插值
- 英文论文关键词：FADEC system ; aero-engine ; high accuracy ; smart pressure sensor ; temperature compensation ; twodimension linear interpolation
- 会议召开时间：2016-07-15
- 会议录名称：2016航空试验测试技术学术交流会论文集
- 语种：中文
- 分类号：V233;TP212
- 学会代码：ZGHU
- 学会名称：中国航空学会
- 页数：5
- 文件大小：1471k
- 原文格式：O
摘要
现代航空发动机全权限数字电子控制(FADEC)系统朝高性能、高安全、高可靠、低污染方向发展,这些都要求FADEC系统对控制参数具有高精度测量以及高速运算的能力。压力传感器是FADEC领域中应用非常广泛的一种重要传感器,对整个发动机控制性能有着直接的影响。为满足航空发动机恶劣工况下控制精度的要求,提出一种基于FPGA的航空发动机智能压力传感器技术,通过FPGA的二维线性插值算法对压力及温度变化所引起的误差进行补偿,提高了测量精度和稳定性。试验结果表明,该压力传感器在-55~+110℃温度范围和一定的压力范围内达到0.15%的测量精度,并具有可靠性高、维修性好等优点。研究成果已应用于某型航空发动机全权限数字电子控制系统中,并通过了300多小时可靠性试验验证。
The high performance,high security,high reliability and low pollution is becoming one of the most pressing needs for modern aero-engine full authority digital electronic control(FADEC) system,and requires FADEC system to have the capability of high-precision measurement and high-speed computation.Pressure sensor is one of the most widely used sensors in FADEC system,and is critical to the whole aero-engine control performance.In order to improve the measurement precision of the pressure signal in aero-engine and meet the control requirements,smart aero-engine pressure sensing technology based on FPGA is proposed.In order to improve the precision and stability,a two-dimension linear interpolation method based on FPGA is used to compensate the error caused by pressure and temperature variation.Results indicate that the pressure sensor can reach the accuracy of 0.15%in a certain pressure range and a temperature range of-55 ~ +110 °C,It also has advantages of high reliability and maintainability.The results have been applied to a certain aero-engine FADEC system and been validated in 300 h reliability experiment.
The high performance,high security,high reliability and low pollution is becoming one of the most pressing needs for modern aero-engine full authority digital electronic control(FADEC) system,and requires FADEC system to have the capability of high-precision measurement and high-speed computation.Pressure sensor is one of the most widely used sensors in FADEC system,and is critical to the whole aero-engine control performance.In order to improve the measurement precision of the pressure signal in aero-engine and meet the control requirements,smart aero-engine pressure sensing technology based on FPGA is proposed.In order to improve the precision and stability,a two-dimension linear interpolation method based on FPGA is used to compensate the error caused by pressure and temperature variation.Results indicate that the pressure sensor can reach the accuracy of 0.15%in a certain pressure range and a temperature range of-55 ~ +110 °C,It also has advantages of high reliability and maintainability.The results have been applied to a certain aero-engine FADEC system and been validated in 300 h reliability experiment.
引文
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[3]Arnold E,Nuscheler F.Compensation methods for a silicon tuning fork gyroscope[J].Journal of Microsystem Technologies,2008,14(4):623-628.
[4]杨峻松,谭晓兰,刘珍妮,等.硅压阻式传感器的优化分析[J].北方工业大学学报,2011,23(3):29.
[5]郑玮玮,刘学观,赵光霞.压力传感器芯片设计及温度分析[J].仪表技术与传感器,2011(8):11-14.
[6]程素娥.基于FPGA的智能压力传感器系统[J].化工自动化和仪表,2010,37(8):53-55.
[7]闫超,李宗醒,毛超民,等.硅压阻式传感器智能数字补偿系统[J].仪表技术与传感器,2010,11:10-12.
[8]周旭华,徐世六,张正元.单片集成压力传感器及弱信号处理电路的设计[J].微电子学,2011,41(5):672-675.
[9]崔炜,陈磊.基于FPGA的高速数据采集系统的设计[J].制造业自动化,2011,33(21):93-95.
[10]Cmar R,Rijnders L,Schaumont P,etal.A Methodology and Design Environment for DSP ASIC Fixed Point Refinement[C]//Proceedings of Design Automation and Test in Europe Conference and Exhibition.1999:211-276.
[11]Zhu J H,Sutton P.FPGA Implementations of Neural Networks:A Survey of a Decade of Progress[M]//Cheung P Y K.Field Programmable Logic and Applications.Berlin Heidelberg:Springer,2003.
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[13]徐彦凯,双凯.提高定点精度的FPGA信号处理算法[J].计算机工程与科学,2012,34(9):197-200.
[14]牛涛,吴斌,焦风川,等.基于FPGA的UART电路的设计[J].电子测量技术,2006,29(3):73-75.