嵌入式大气数据传感系统及其校正  

Flush Airdata Sensing and Its Calibration

作　　者：宋秀毅[1] 陆宇平[1] 

机构地区：[1]南京航空航天大学自动化学院,江苏南京210016

出　　处：《应用科学学报》2008年第3期301-306,共6页Journal of Applied Sciences

基　　金：国家"863"高技术研究发展计划(No.2006AA705404)资助项目

摘　　要：对嵌入式大气数据传感(flush airdata sensing,FADS)系统进行设计和改进.提出了避免形压系数参与迭代的卡尔曼滤波算法,形压系数通过压力修正系数得到.设计了模块化神经网络校正算法,迎角和侧滑角由模块MRCα和模块MRCβ独立校正.提出校正过程中确定迎角和侧滑角最优解的方法,解决了三点组合多解的问题.最后给出计算结果和校正结果,算法的精度和实时性都有所提高,表明对系统的设计和改进是可行的.An algorithm for flush airdata sensing system is designed and improved. A Kalman algorithm is proposed in which iterative computation for the shape and compressibility parameters are avoided. Instead, these parameters are obtained from pressure modification coefficient. A neural network basing algorithm for the modularization is described, and the attack angle and sideslip angle Methods for getting optimal attack and sideslip Calculation and calibration results are presented that the design method is feasible. are calibrated by modularization MRCα and MR respectively. angles are developed, solving the multiple solution problem. with improved precision and real-time characteristic, indicating

关 键 词：嵌入式大气数据传感系统 卡尔曼滤波 三点法 神经网络 

分 类 号：TN06[电子电信—物理电子学]