摘要
动叶片与发动机机匣之间的叶尖间隙参数是反映航空发动机工作性能和运行安全的关键状态参数之一。多级多叶片叶尖间隙同时进行测量时,叶尖间隙测量数据量巨大,多通道数据快速处理与传输至关重要。设计了基于USB3.0的4通道叶尖间隙数据采集系统,提出了全采集和在板处理两种数据处理方法。利用FPGA高速并行处理多路ADC量化数据,通过USB3.0总线将预处理后数据传输至计算机,以进行数据后处理、显示与存储。通过实验验证了数据采集系统的有效性,USB3.0接口的数据传输带宽可达400 MB/s,系统理论上可扩展至32通道叶尖间隙信号输入。数据采集系统可同时满足叶尖间隙离线数据分析和实时在线监测的不同测量需求,设计方法在叶尖间隙测量工程应用方面具有重要意义。
The blade tip clearance between rotor blade and engine casing is one of the key state parameters to reflect the performance and safety of aero⁃engine.When multi⁃stage multi⁃blade tip clearance is measured at the same time,the amount of measurement data is huge.It is very important to process and transmit blade tip clearance measurement data at high speed.A four⁃channel blade tip clearance data acquisition system based on USB3.0 is designed.Two data processing methods including full⁃data and on⁃board processing are proposed.Multi⁃channel ADC quantization data are processed by FPGA in high⁃speed parallel.Then the pre⁃processed data is transmitted to the computer through USB3.0 bus for data post⁃processing,display and storage.The validity of the data acquisition system is verified through experiments.The data transmission bandwidth of USB3.0 interface can reach 400MB/s,and the system can be extended to 32 channels of blade tip clearance signal input in theory.The data acquisition system can meet different measurement requirements of off⁃line data analysis and real⁃time on⁃line monitoring of blade tip clearance.The designed method is of great significance in the engineering application of blade tip clearance measurement.
作者
郑芳芳
牛广越
易亮
薛志飞
段发阶
ZHENG Fangfang;NIU Guangyue;YI Liang;XUE Zhifei;DUAN Fajie(Aero Engine Corporation of China Shanghai Commercial Aircraft Engine Manufacturing Co.,Ltd.,Shanghai 201306,China;State Key Laboratory of Precision Measuring Technology and Instruments,Tianjin University,Tianjin 300072,China)
出处
《传感技术学报》
CAS
CSCD
北大核心
2023年第6期874-880,共7页
Chinese Journal of Sensors and Actuators
基金
国家自然科学基金项目(52205573,U2241265)
中国博士后科学基金(2022M720106)
精密测试技术及仪器国家重点实验室(天津大学)青年教师科研启动项目(Pilq2304)
广东省重点研发计划项目(2020B0404030001)。
