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基于鲁棒视线制导方法的欠驱动船舶路径跟踪

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为解决船舶路径跟踪中的欠驱动和船舶模型不确定问题,提出一种基于鲁棒视线制导方法的神经网络滑模控制器.首先,利用鲁棒视线制导方法解决欠驱动船舶输入自由度维数小于输出自由度维数的问题,同时,减少船舶运动学差异的影响;其次,把径向基函数神经网络和滑模控制方法相结合设计控制器,减少外界干扰的影响,实现了欠驱动船舶的路径跟踪;最后,通过李雅普诺夫稳定性定理分别证明了所设计制导系统和控制系统的稳定性.该控制器引入鲁棒视线制导方法对制导系统进行设计,在减少外界干扰影响的同时考虑了船舶运动学差异的影响.仿真实验分别实现了欠驱动船舶的直线路径跟踪和曲线路径跟踪,验证了所设计控制器的有效性和可行性.
Underactuated ship path tracking based on robust line-of-sight guidance method
A neural network sliding mode controller based on the robust line-of-sight(LOS)guidance method for the path tracking of underactuated ship was proposed to solve the prob-lem of underactuated and ship model uncertainty.Firstly,the robust LOS was utilized to solve the problem that the ship's input degrees of freedom dimension were less than the output degrees of freedom dimension,and at the same time,to re-duce the influence of the differences of ship kinematics.Sec-ondly,the controller was designed by combining the radial ba-sis function neural network and sliding mode to reduce the effect of external disturbances and realize the path tracking of underactuated ships.Finally,the Lyapunov stability theory was applied to prove the stability of the guidance system and the control system.A robust line-of-sight guidance method was introduced to design the guidance system,taking into account the influence of ship kinematic differences while reducing ex-ternal interference.The simulation experiments respectively realize the linear path tracking and curved path tracking of un-deractuated ships,and verify the effectiveness and feasibility of the designed controller.

underactuated shippath trackingrobust line-of-sight(LOS)guidanceneural networkssliding mode con-trol

徐双、刘程、郭玮丽

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大连海事大学航海学院,辽宁大连 116026

欠驱动船舶 路径跟踪 鲁棒视线(LOS)制导 神经网络 滑模控制

2024

大连海事大学学报
大连海事大学

大连海事大学学报

CSTPCD北大核心
影响因子:0.469
ISSN:1006-7736
年,卷(期):2024.50(1)
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