Title :
Dynamic Weighing of the Application Based on Parameters Identification
Author :
Shen Guoqiang ; Yan Zujian
Author_Institution :
Hangzhou Dianzi Univ., Hangzhou, China
Abstract :
In the process of agricultural livestock of feeding, it is increasing for feed of livestock of online dynamic weighing measurement demand, But the dynamic weighing is the more important and complex than the static weighing, and it is very difficulty to achieve the technology. Researching a high precision and high speed dynamic weighing algorithm is great value to improve equipment of productivity and efficiency. This article is about the general dynamic weighing system equivalenting to the general second-order control system. There derives the static and dynamic mathematical model through control theory. And it converses into the Autoregressive Moving Average Model by Laplace Transform,then it converses into Least Squares parameter identification problem.Finally,there analysises Least Squares parameter identification in the weighing process of application.
Keywords :
Laplace transforms; agriculture; autoregressive moving average processes; least squares approximations; parameter estimation; productivity; weighing; Laplace transform; agricultural livestock; autoregressive moving average model; control theory; dynamic mathematical model; feeding; least squares parameter identification problem; online dynamic weighing measurement demand; productivity; second-order control system; static mathematical model; static weighing; Automation; Decision support systems; Manufacturing; Least Squares Method; Parameter Identification; Second-order System; dynamic weighing;
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2011 Second International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-1-4577-0755-1
Electronic_ISBN :
978-0-7695-4455-7
DOI :
10.1109/ICDMA.2011.122