输入饱和下自主水下潜航器的预定时间轨迹跟踪控制
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TP273

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四川省自然科学基金面上项目(2024NSFSC0513);成都市科学技术局科普基地建设基金项目(2022-HM03-00044-SN).


Predefined-time control of trajectory tracking for autonomous underwater vehicles with input saturation
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    摘要:

    随着水下任务需求的不断提升, 轨迹跟踪控制一方面需克服模型参数的不确定性、外界未知扰动以及输入饱和对控制性能的影响; 另一方面为避免跟踪误差收敛时间被高估, 需提前约束误差收敛时间的上界. 为此, 针对六自由度全驱动自主水下潜航器, 提出一种基于扰动观测器的非奇异预定时间控制方法. 首先, 设计预定时间稳定的扰动观测器, 实现对模型参数不确定性和外部扰动的快速精确估计; 其次, 基于位姿跟踪误差采用反步法设计虚拟速度控制量, 并通过非线性一阶滤波器对虚拟量求导, 解决反步法固有的“微分爆炸”问题; 与此同时, 引入辅助动力系统并根据扰动观测器的实时补偿, 设计具有抗饱和特性的非奇异积分滑模控制律, 采用Lyapunov稳定性理论证明该闭环控制系统实际预定时间稳定, 并且系统内所有信号在预定时间内收敛于原点附近邻域; 最后, 通过仿真结果验证所提出设计方法的有效性, 其不仅跟踪误差收敛速度优于固定时间控制, 且收敛时间上界不受系统初始状态的影响.

    Abstract:

    With the growing demands of underwater tasks, trajectory tracking control faces challenges. It must handle model parameter uncertainties, unknown external disturbances, and input saturation. Also, to avoid overestimating tracking error convergence time, the upper convergence time bound needs to be determined beforehand. For a six-degree-of-freedom fully actuated autonomous underwater vehicle, a disturbance observer based non-singular predefined-time control method is proposed. Firstly, a predefined-time disturbance observer is devised for fast and accurate estimation of model uncertainties and external disturbances. Then, based on the pose tracking error, a virtual velocity command is generated using backstepping technique. To address the explosion of computation complexity, a nonlinear first-order filter is adopted to deal with the derivative of virtual velocity command. Meanwhile, an auxiliary dynamic system is introduced. With compensation from the disturbance observer, a non-singular integral sliding mode control law with anti-saturation properties is designed. The Lyapunov theory proves that the closed-loop control system is practically predefined-time stable, so that all signals converge to a neighborhood of the origin. Finally, simulation results verify the effectiveness of the proposed method. It has faster convergence of tracking error than fixed-time control, and the upper convergence time bound is independent of initial states.

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李亚鑫,余林涛,张慧洁,等.输入饱和下自主水下潜航器的预定时间轨迹跟踪控制[J].控制与决策,2026,41(2):362-372

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  • 收稿日期:2025-05-12
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  • 在线发布日期: 2026-01-17
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