The vertical Motion State Estimation of Hydrofoil Catamaran Based on CDKF

被引：0

作者：

Wang Yuchao ^{[1
]}

Liu Sheng ^{[1
]}

Yang Dan ^{[1
]}

机构：

[1] Harbin Engn Univ, Coll Automat, Harbin 150001, Peoples R China

来源：

2014 33RD CHINESE CONTROL CONFERENCE (CCC) | 2014年

关键词：

hydrofoil catamaram; attitude estimation; non-linear model filer; Central Different Kalman Filter;

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：

The hydrofoil catamaran had a strong non-linear characteristic at high speed sailing. It is proposed a new method use Central Different Kalman Filter to estimate the motion state of hydrofoil catamaran. This paper established the non-linear model of the hydrofoil catamaran vertical attitude motion. It was considered that the model had second-order non-linear characteristic, so second-order Central Different Kalman Filter was took ues to filter this modle. Central Different Kalman Filter, Unscented Kalman Filter and Particle Filter were used to estimation the vertical motion of Hydrofoil Catamaran, then compared and analysed the effect of estimation. Simulation results showed that CDKF could accuracy and efficient estimate the vertical motion of Hydrofoil Catamaran. It had high precision and few adjustment parameters. This method was better than UKF and PF.

引用

页码：7236 / 7239

页数：4