. 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.
The random noise is an important factor that affects the precision of the MEMS gyroscope. Based on the time-series analysis method, the AR model of the MEMS gyro drift signal is established. Then the adaptive Kalman filter is used to filter the drift signal. Comparison the original signal and the signal filtered by the adaptive Kalman filter, we found that the adaptive Kalman filter has the good filtering effect in the processing the zero drift signal of the MEMS gyro.
Based on SCA830 accelerometer designed a low cost high precision Angle measurement device. The device adopts the real-time mean shift filtering algorithms to reduce the interference of the external environment and noise, uses piecewise linearization method for Angle sensor calibration. The experimental results show that the designed angle detection device precision can reach 0.02 °, the system is stability, digital signal transmission is complete, and it can collect real-time carrier tilt Angle.
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