Humidity Error Compensating of MEMS Gyros Based on A daptive Threshold Denoising and RBF Neural Network

• Published in: Chinese Control Conference pp. 4691 - 4696
• Main Authors: Xin-Wang, Wang, Xiao-Lin, Shen, Hui-Liang, Cao, Bo-Wen, Deng
• Format: Conference Proceeding
• Language: English
• Published: Technical Committee on Control Theory, Chinese Association of Automation 01.07.2018
• Subjects: adaptive threshold function; error compensations; Frequency modulation; Manganese; MEMS gyroscopes; radial basis function neural network; random error model; relative humidity

The large random errors in a typical MEMS gyros under the ranges of relative humidity condition. In order to solve the large random error under the ranges of relative humidity, a method based on adaptive threshold denoising and neural network is proposed in this paper. Full relative humidity experim...