Abstract
. MEMS device based on MEMS technology has the advantages of small volume, light weight, low cost, shock resistance, high reliability, it is widely used in the dynamic level measuring device. But due to the interference of external environment, the measurement accuracy of MEMS devices has been difficult to achieve practical application level. This paper analyzes the factors influencing the measurement accuracy of MEMS devices in the dynamic level measurement, is proposed based on the improved MEMS gyro random error compensation algorithm for ARMA model. Processed by the random error of a certain type of gyro, the test, the measuring accuracy of MEMS gyroscope has been significantly improved in the before and after filtering. After Kalman the improved filter and Kalman filter adaptive fading factor is introduced, in the static condition, the standard error of the difference of the original error are reduced to 3.75% and 4.8%, the filtering precision and dynamic environment is also effectively improved. Prove that the method is feasible and effective and is of great practical significance.
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