Improved Random Load Processing Algorithm Based on Kalman Filter

被引：0
|
作者：
Gu, Yong [1 ]
Zhu, Yun [1 ]
Zhu, Desong [1 ]
机构：
[1] Wuhan Univ Technol, Sch Logist Engn, Wuhan 430063, Hubei, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL SYMPOSIUM ON COMPUTERS & INFORMATICS | 2015年 / 13卷
关键词：
dynamic weighing; Kalman filter; parallel algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper first analyses the reasons of the disturbance signal emerging in the process of weighing, and then selects an improved algorithm based on Kalman filter method to deal with the raw data. After the analysis and comparing the new results with the static weighing data, we finally verify the accuracy of the new algorithm.
引用
收藏
页码：255 / 263
页数：9
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