An Improved Smooth Variable Structure Filter and Its Application in Ship Wave Filtering

被引：0
作者：
Yuzhao Jiao
Hongmei Zhao
Xiaolei Wang
Taishan Lou
机构：
[1] Zhengzhou University of Light Industry,School of Electrical and Information Engineering
来源：
Iranian Journal of Science and Technology, Transactions of Electrical Engineering | 2021年 / 45卷
关键词：
Uncertain parameters; Correlated noise; Smooth variable structure filter; Wave filter;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
During the movement of the ship, due to the influence of wind, waves, currents, uncertain model parameters and related noise, there is a certain deviation between actual model and the theoretically model, and the system noise is cross-correlated. In this case, the traditional wave filtering algorithms based on accurate model and independent Gaussian white noise will have some deviation or even divergence. In this paper, a new wave filtering technology is proposed for ship with model uncertainty and cross-correlated noise interference. Specifically, an improved smooth variable structure filter with cross-correlate noise is proposed. The simulation results illustrate the superior performance of the proposed filtering strategy compared with other existing filter algorithm.
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页码：711 / 719
页数：8
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