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An Improved Smooth Variable Structure Filter and Its Application in Ship Wave Filtering
Iranian Journal of Science and Technology, Transactions of Electrical Engineering ( IF 2.4 ) Pub Date : 2021-01-18 , DOI: 10.1007/s40998-020-00406-5
Yuzhao Jiao , Hongmei Zhao , Xiaolei Wang , Taishan Lou

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.

中文翻译:

一种改进的平滑变结构滤波器及其在船舶波浪滤波中的应用

船舶在运动过程中,受风、浪、流、不确定模型参数及相关噪声的影响,实际模型与理论模型存在一定偏差,系统噪声互相关。在这种情况下,传统的基于精确模型和独立高斯白噪声的滤波算法会出现一定的偏差甚至发散。本文针对具有模型不确定性和互相关噪声干扰的船舶提出了一种新的滤波技术。具体而言,提出了一种改进的具有互相关噪声的平滑可变结构滤波器。仿真结果表明,与现有的其他滤波算法相比,所提出的滤波策略具有优越的性能。
更新日期:2021-01-18
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