大连海事大学学报 >
2017 , Vol. 43 >Issue 4: 7 - 13
DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2017.04.002
基于时间序列分析法的气垫船升沉运动预报
收稿日期: 2017-05-23
修回日期: 2017-06-15
网络出版日期: 2017-06-15
基金资助
国家自然科学基金资助项目（51079013）；国家人社部留学人员科技活动择优资助项目；辽宁省高等学校优秀人才支持计划项目（LR2015007）；中央高校基本科研业务费专项资金资助项目（3132016020）.
Heave motion prediction of hovercraft based on time series analysis method
Received date: 2017-05-23
Revised date: 2017-06-15
Online published: 2017-06-15
包佳程 , 杜佳璐 , 张金男 . 基于时间序列分析法的气垫船升沉运动预报[J]. 大连海事大学学报, 2017 , 43(4) : 7 -13 . DOI: 10.16411/j.cnki.issn1006-7736.2017.04.002
For the heave motion prediction of the hovercraft suffered from the wave disturbances, a heave displacement estimator based on Kalman filter was firstly designed to estimate the heave displacement from the measured heave acceleration signal. On the basis of this, the autoregressive model based on time series analysis was constructed to predict the heave displacement of the hovercraft. Simulations were carried out for a wall type hovercraft, and results demonstrate the effectiveness of the developed predicting method of the heave motion.
Key words： hovercraft; heave motion prediction; Kalman filter; estimator; autoregressive model
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