This paper reports a method to suppress the in-phase error of silicon micro gyroscopes in real time, which can realize long-term stability, without significantly affecting the sensor noise. The in-phase error suppression is by periodically changing the polarity of the drive mode, and the bias (zero rate output) decreases from -7.8deg/s to -3.9deg/s, attenuation amplitude of which is about 3.9deg/s. By sampling the output using information fusion technology, low shirt-time noise and bias instability can be obtained without cutting off the gyroscope and adding additional sensors, the bias instability of which is reduce from 35.0 deg/hr to 10.8 deg/hr. The feasibility of the approach was experimentally evaluated using a MEMS gyroscope with the algorithm implementation on FPGA in real-time.
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