Research on the Temperature Compensation Algorithm of Zero Drift in MEMS Gyroscope Based on Wavelet Transform and Improved Grey Theory

The MEMS gyroscope zero drifts dominantly affects measurement accuracy of gyroscope. For the nonlinear problem that MEMS gyro zero drift varying with the temperature changes, the wavelet transform was performed to filter the static experiment zero drift data, then the zero drift was investigate by combing with the improved grey prediction theory. Finally a temperature compensation model based on wavelet transform and the improved grey prediction was obtained. Comparing with conventional compensation model algorithm, our model has smaller root mean square error and mean absolute error, the drift of root mean square error and mean absolute error of the MEMS gyroscope were reduced to 0.0250 and 0.0180 respectively. The temperature compensation system has good potential of theoretical and engineering application to improve the gyro accuracy of measurement. Copyright © 2014 IFSA Publishing, S. L.