磁流体动力学角速度传感器低频误差分析及校正方法研究

摘要

为了改善磁流体动力学（MHD）角速度传感器的低频性能，建立了传感器理论误差模型并设计了一种自适应卡尔曼算法。该方法根据被测角速度频率变化自动调整滤波器过程噪声和量测噪声参数，实现对传感器低频误差的动态补偿。对校正前后的传感器性能进行了对比实验，实验结果表明校正后传感器在低频区（<1Hz）的误差较之前降低了约90%，证明所设计的方法可用于提高MHD角速度传感器的低频性能%To improve the low frequency performance of a Magnetohydrodynamics(MHD)angular rata sensor,a the⁃oretical error model of the sensor is established and an adaptive Kalman filtering algorithm is proposed. The algo⁃rithm can automatically change the parameters of process noise and measurement noise according to the frequency of angular rate and compensates the error of the MHD sensor dynamically. A comparative experiment is made and the result shows that the MHD sensor’s relative error in low frequency region(<1 Hz)is decreased by 90%.The er⁃ror correction algorithm proposed is suitable to improve the MHD sensor’s performance in low frequency region.