摘要
研究了基于声矢量传感器阵列的空气流动速度测量问题。首先,根据声波在气流中的传播原理,求得声场中质点振速与空气流动速度的关系表达式,建立基于声矢量传感器线性阵列的测量模型。在此基础上,根据各个阵元输出信号之间的相位差,提出了基于鲁棒H∞滤波的空气流动速度估计算法,该算法通过各个阵元的信息迭代估计出空气流动速度。然后从理论上讨论了算法的初值选取,并分析了算法对随机扰动的鲁棒性。最后,计算机仿真表明该算法具有良好的鲁棒性和容错性。
The measurement of airspeed based on an acoustic vector sensor array is studied in this paper.According to the propagation principle of acoustic waves in an air current,the relationships between particle velocity and air current velocity are first derived and a measurement model based on a linear acoustic vector sensor array is built.Then a novel approach for estimating airspeeds based on the robust H∞ filter is proposed.By the phase lag between each sensor,the proposed algorithm is implemented as an iteration to estimate the airspeed.The selection of system initial parameters is discussed and the robustness against system perturbation is analyzed in theory.Finally,simulation results show that the proposed approach has excellent robustness and toleration of sensor failures.
出处
《航空学报》
EI
CAS
CSCD
北大核心
2013年第2期361-370,共10页
Acta Aeronautica et Astronautica Sinica
基金
国家自然科学基金(61172126)~~
关键词
声矢量传感器阵列
质点振速
空气流动速度测量
H∞滤波
初值选取
acoustic vector sensor array
particle velocity
measurement of airspeed
H∞ filtering
selection of initial parameters