Abstract
In this paper, the output data of MEMS gyroscope ADRX150 under different input angular velocity within the temperature range of -30°C~50°C is collected and analyzed. Taking the nonlinear and random characteristics of the output data of MEMS gyroscope ADRX150 into account, the dynamic output data model based on RBF neural network is established, which is training and taking the performance testing with the experimental data collection. The results indicate that, the model has high accuracy and good generalization ability.
Publisher
Trans Tech Publications, Ltd.
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