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全机疲劳试验姿态监控系统
引用本文:沈翔,郭善镜. 全机疲劳试验姿态监控系统[J]. 现代电子技术, 2014, 0(22): 60-62
作者姓名:沈翔  郭善镜
作者单位:1. 中国飞机强度研究所,陕西 西安,710065
2. 中国兵器工业 第二一三研究所,陕西 西安,710061
摘    要:为了改善现有全机疲劳试验中姿态监控的缺点,采用加速度传感器、陀螺仪、磁力计和DSP处理器,通过四元数法和二阶龙格-库塔法实时解算出飞机的姿态数据,然后经过扩展卡尔曼滤波器对多传感器数据进行融合滤波后得到准确的姿态数据,并通过无线传输模块发送至上位机,姿态数据超差后能够发出声光报警提醒试验控制人员。经试验,系统误差在0.58°以内。通过在某型号全机疲劳试验中的实际应用,该系统工作可靠、准确,满足试验要求。

关 键 词:疲劳试验  姿态解算  四元数法  扩展卡尔曼滤波

Attitude monitoring system of whole plan fatigue test
SHEN Xiang,GUO Shanjing. Attitude monitoring system of whole plan fatigue test[J]. Modern Electronic Technique, 2014, 0(22): 60-62
Authors:SHEN Xiang  GUO Shanjing
Affiliation:SHEN Xiang, GUO Shanjing (1. China Aircraft Strength Research Institute, Xi'an 710065, China; 2. The 213th Research Institute of China Ordnance Industry, Xi'an 710061, China)
Abstract:In order to improve the performance of the existing attitude monitoring system,the attitude data of plane was ob-tained with acceleration sensor,gyroscope,magnetometer and DSP processor through real-time calculation of quaternion algo-rithm and Runge-Kutta algorithm. The accurate attitude data was got by means of fusion and filtering of the extended Kalman fil-ter with the data from multiple sensors. The data is send to upper computer through wireless transmission module. The system will reminding the test controller through sound and light alarm when the attitude error is greater than the threshold. In the test, the system error is within 0.58°. With the application in the fatigue test,the system is proved to be reliable and accurate,and meets the fatigue test requirements.
Keywords:fatigue test  attitude calculation  quaternion algorithm  extended Kalman filtering
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