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- 2018
一种MHD角速度传感器与MEMS陀螺仪组合测量系统信号融合的方法
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Abstract:
为了补偿磁流体动力学(MHD)角速度传感器的低频误差, 提出了通过混叠滤波器融合MHD角速度传感器与MEMS陀螺仪信号的方法．该方法根据传感器的复频域模型, 设计相应的相位补偿高通滤波器与低通滤波器组成的混叠滤波器, 融合两者的信号．对融合前后传感器的输出进行实验对比, 结果表明, 融合后的输出与MHD角速度传感器相比, 低频(0～2 Hz)范围内幅值最大相对误差从99.98% 下降到0.80% 以下, 相位最大绝对误差从90°下降到1°以内, 同时保证了MHD角速度传感器原有的高频特性, 输出幅值在整个工作频段的波动性控制在1% 以内．验证了该种混叠滤波器算法有效性, 满足卫星千赫兹带宽的测量要求．
To compensate for the low frequency error of Magneto hydrodynamics(MHD)angular rate sensor，an aliasing filter which fused the signals of the MHD angular rate sensor and the MEMS gyro was proposed. According to the complex frequency domain model of the sensors，an aliasing filter，which was made up of phase compensate high-pass filter and low-pass filter，was designed. Comparative experiments were conducted before and after fusion. Compared with MHD angular rate sensor，the results show that in the frequency region of 0―2 Hz，the maximum relative error of amplitude decreases from 99.98% to lower than 0.80% ，while the maximum absolute error of phase decreases from 90° to lower than 1°. The method inherits the ideal characteristics in high frequency region of MHD angular rate sensor and the volatility of amplitude is restricted to 1% . The aliasing filter algorithm is verified to be efficient，which meets the requirements of 1 kHz bandwidth of satellite
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