TIAN Bo, HAN Jun-feng, GUO Yi-feng, et al. Identification of parameters of accelerometer based on recursive augmented matrix[J]. 2016, 35(8): 51-53. DOI: 10.13873/J.1000-9787(2016)08-0051-03.
利用递推增广矩阵辨识加速度计的参数
摘要
介绍了加速度计的基本工作原理和结构模型
将加速度计的微分方程转换成差分方程
在传统最小二乘法辨识的基础上
采用递推增广矩阵的辨识方法对加速度计的参数模型进行辨识。通过Matlab对其仿真
得到被辨识参数的估计值与曲线图
说明采用递推增广矩阵辨识方法辨识系统参数具有辨识速度快、辨识精度高、辨识结果准确等特点。
Abstract
Basic working principle and structure model of accelerometer is introduced
and then differential equations of accelerometer is converted to difference equation
on the basis of traditional least squares method identification
using identification method of recursive augmented matrix
parameters model of accelerometer are identified. Identification simulation is carried out by Matlab
parameter estimation value and curve graph is obtained
it shows that using recursive augmented matrix identification methods to identify system parameter identification has advantages of fast speed