Cooperative Maritime Search of Multi-Ship Based on Improved Robust Line-of-Sight Guidance

Weili Guo, Cheng Liu, Ting Sun
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Abstract

In this paper, an improved robust line-of-sight (RLOS) guidance-based fuzzy sliding mode controller is presented to control underactuated ships to conduct the cooperative maritime search operation under the presented improved creeping line search method. First, considering that the ship cannot perform turning with corners, an improved creeping line search method is presented by integrating the Bezier method into the traditional creeping line search method to smooth the transition points with corners and employing the cubic spline interpolation method to generate continuous reference paths. Second, an improved RLOS guidance method is presented for the first time by exploring the idea of robust adaptive control to mitigate the chattering effect of the RLOS guidance. Third, the fuzzy logic system with approximate ability is integrated into the design of sliding mode controller to handle unknown nonlinear model dynamics and environmental disturbances. Finally, an improved RLOS guidance-based fuzzy sliding mode controller is presented. The closed-loop stability is guaranteed by the Lyapunov theorem. Comparative simulations are conducted to illustrate the advantages and verify the effectiveness of the presented method.
基于改进型鲁棒视线制导的多船协同海上搜索
本文提出了一种基于鲁棒视距(RLOS)制导的改进型模糊滑模控制器,用于控制欠驱动船舶在所提出的改进型爬行线搜索方法下进行海上协同搜索作业。首先,考虑到船舶不能进行带拐角的转弯,提出了一种改进的爬行线搜索方法,将贝塞尔方法集成到传统的爬行线搜索方法中,以平滑带拐角的过渡点,并采用三次样条插值方法生成连续的参考路径。其次,首次提出了一种改进的 RLOS 制导方法,通过探索鲁棒自适应控制的思想来缓解 RLOS 制导的颤振效应。第三,将具有近似能力的模糊逻辑系统集成到滑模控制器的设计中,以处理未知的非线性模型动力学和环境干扰。最后,提出了一种基于 RLOS 制导的改进型模糊滑模控制器。闭环稳定性得到了 Lyapunov 定理的保证。通过对比模拟,说明了所提出方法的优势并验证了其有效性。
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