.png){kind=icon}
返回
A Deformation Measurement Algorithm Based on Adaptive Variable Parameter Multiple Model for Large Ships
.png){kind=icon}
OA
AI
DOI：10.1109/TIM.2021.3109388.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Accurate measurement of ship deformation angle is of great significance for building a unified space attitude reference and improving the combat performance of the entire ship. However, many problems existing in the actual sailing process restrict its measurement accuracy severely, such as the time delay between measurement equipment, the unknown characteristics of measurement noise, and the unknown model parameters of the dynamic deformation. This article proposes an adaptive variable parameter multiple model (AVPMM) algorithm that can simultaneously solve these problems. First, a time delay compensation algorithm is derived to suppress the influence of time delay on measurement accuracy; then an adaptive cubature Kalman filter is designed based on the idea of adaptive filtering to suppress the influence of unknown characteristics of measurement noise; and finally, an AVPMM algorithm is designed by combining the above ideas to reduce the impact of unknown model parameters of dynamic deformation. The results of the simulation and turntable experiment show that this algorithm has good measurement accuracy and the error is less than 0.15'.
Keyword:
Measurement noise
multiple model
ship deformation
time delay
unknown parameters
期刊
IF:
5.9
论文数:
2.0W
被引数:
5.8W
机构
引用论文
.png){kind=icon}
分享收藏Class dismissed? Youth resistance and the politics of race and class in South African education
PREAI
分享收藏
查看更多内容