嵌入式大气数据传感系统的求解算法研究  

Research on Algorithms of Flush Airdata Sensing System

作　　者：方习高[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：《计算机测量与控制》2008年第3期398-400,共3页Computer Measurement &Control

基　　金：国家高技术研究发展计划("863"计划)资助项目(2006AA705404)

摘　　要：嵌入式大气数据传感系统是一种依靠嵌入在飞行器前端的压力传感器阵列来测量飞行器表面的压力分布,并由此压力分布通过求解非线性方程组间接获得飞行参数的先进飞行数据传感系统;介绍了嵌入式大气数据传感系统及其主要的求解算法,主要包括加权最小二乘法、三点法和神经网络方法,针对每种算法分别给出了其迎角、侧滑角和动压、静压的求解公式,最后对3种算法进行了比较,结果表明神经网络方法相对与其他两种方法来说是比较理想的FADS系统的求解算法。Flush airdata sensing system is an advanced airdata sensing system,in which airdata are inferred from nonintrusive surface pressure measurements using a nonlinear pressure model and a nonlinear solution algorithm. The main algorithms of flush airdata sensing system are introduced,include weighted least square algorithm,triples algorithm and neural network algorithm.For each algorithm its angle of attack,angle of side-slip,dynamic pressure and freestream static pressure estimate solution is given.At last,these three algorithms is compared.The result shows that neural network algorithm is better than other algorithms.

关 键 词：嵌入式大气数据传感系统 加权最小二乘 神经网络 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]