Geometric line-of-sight guidance law with exponential switching sliding mode control for marine vehicles' path following.

IF 3 Q2 ROBOTICS
Frontiers in Robotics and AI Pub Date : 2025-06-23 eCollection Date: 2025-01-01 DOI:10.3389/frobt.2025.1598982
Chengren Yuan, Changgeng Shuai, Zhanshuo Zhang, Buyun Li, Yuqiang Cheng, Jianguo Ma
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引用次数: 0

Abstract

Marine vehicle guidance and control technology serves as the core support for advancing marine development and enabling scientific exploration. Its accuracy, autonomy, and environmental adaptability directly determine a vehicle's mission effectiveness in complex marine environments. This paper explores path following for marine vehicles in the horizontal plane. To tackle the limitation of a fixed look-ahead distance, we develop a novel geometric line-of-sight guidance law. It adapts to diverse compound paths by dynamically adjusting according to cross-track errors and local path curvature. Then, to enhance control performance, we present an improved exponential switching law for sliding mode control, enabling rapid convergence, disturbance rejection, and chatter reduction. Additionally, integral sliding mode control is integrated to stabilize yaw angular velocity, ensuring the system's global asymptotic stability. Through a series of numerical simulations, the effectiveness, robustness, and adaptability of our proposed methods are verified.

Abstract Image

Abstract Image

Abstract Image

基于指数切换滑模控制的船舶路径跟随几何视线制导律。
海洋航行器制导与控制技术是推进海洋开发、实现科学探索的核心支撑。它的准确性、自主性和环境适应性直接决定了车辆在复杂海洋环境中的任务有效性。本文研究了船舶在水平面上的路径跟踪问题。为了解决固定前视距离的限制,我们提出了一种新的几何视距制导律。该算法根据交叉轨迹误差和局部路径曲率进行动态调整,适应多种复合路径。然后,为了提高控制性能,我们提出了一种改进的指数切换律用于滑模控制,实现快速收敛,抗干扰和减少颤振。此外,采用积分滑模控制来稳定横摆角速度,保证系统的全局渐近稳定性。通过一系列的数值仿真,验证了所提方法的有效性、鲁棒性和适应性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.50
自引率
5.90%
发文量
355
审稿时长
14 weeks
期刊介绍: Frontiers in Robotics and AI publishes rigorously peer-reviewed research covering all theory and applications of robotics, technology, and artificial intelligence, from biomedical to space robotics.
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