A New Method on Parameter Identification of One-Dimensional Decelerated Motion

被引：0
|
作者：
Wang, Wei [1 ]
Gu, Jinliang [1 ]
机构：
[1] Nanjing Univ Sci & Technol, Sci & Technol Transient Phys Lab, Nanjing 210094, Jiangsu, Peoples R China
来源：
PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON MECHATRONIC SYSTEM AND MEASUREMENT TECHNOLOGY | 2012年
基金：
国家教育部博士点专项基金资助;
关键词：
Data Fusion; Parameter Identification; Extend Kalman Filter; Monte-Carlo Process;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Focus on the parameter identification of a kind of decelerated motion, A new method has been discussed in the article. The EKF process has been used to data fusion for a kind of one-dimensional decelerated motion. Based on The Maximum Likelihood principle the identification of aerodynamic coefficient has been covert to a kind of minimum problem. And a Monte-Carlo process has been applied to solve such problem. According to a kind of one-dimensional decelerated motion, a simulation based on MATLAB has been presented and the results indicated that the method presented in the paper is surefire and accurate.
引用
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页码：312 / 315
页数：4
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