绳驱动无人艇主动对接系统运动控制策略
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TP242.3

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国家自然科学基金项目(面上项目,重点项目,重大项目);中央高校基本科研业务费专项基金项目


Motion Control Strategy of Cable-driven Active Docking System for Unmanned Surface Vehicles
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    摘要:

    针对无人艇在回收过程中易受到外部扰动从而与回收舱产生相对运动影响对接效率的问题,提出了一种基于绳驱动的无人艇主动对接系统,通过收放绳索控制回收舱同步跟随无人艇的横荡及升沉运动,以提高对接作业的效率和安全性。首先建立了该系统的运动学及动力学模型并验证其正确性,其次提出了一种基于绳速前馈的鲁棒比例-微分控制策略,最后采用MATLAB/Simulink-Adams联合仿真验证了对接方案的可行性及控制策略的有效性。结果表明,引入模糊控制逻辑后,主吊绳的绳长及绳速误差较比例-微分(proportional-derivative,PD)控制器分别减少约86%和81%,牵引绳的绳长及绳速误差分别平均减少约84%和41%,无人艇与回收舱的位置误差在x、z方向分别减少了28%和80%。研究结果为该系统在无人艇回收领域的实际应用提供了理论基础,同时为无人艇回收装置的研制提供了参考依据。

    Abstract:

    To address the issue that unmanned surface vehicles (USVs) are susceptible to external disturbances during recovery operations, which induce relative motion between the USV and the recovery cage and thereby degrade docking efficiency, a cable-driven active docking system for USVs is proposed. Docking performance is improved by synchronizing the lateral translation and vertical displacement of the recovery cage with those of the USV through controlled cable length adjustment. First, the kinematic and dynamic models of the proposed system are established and validated.Subsequently, a robust proportional-derivative (PD) control strategy incorporating cable velocity feedforward is developed. Finally, the feasibility of the docking scheme and the effectiveness of the proposed control strategy are verified through MATLAB/Simulink-Adams co-simulation. The results indicate that the introduction of fuzzy control logic significantly enhances system performance: compared with the conventional PD controller, the length and velocity errors of the main hoist cable are reduced by approximately 86% and 81%, respectively, while the traction cables exhibit average reductions of 84% in length error and 41% in velocity error. Furthermore, the relative positional errors between the USV and the recovery cage are reduced by 28% in the x-direction and 80% in the z-direction. This study provides a theoretical foundation for the practical implementation of USV recovery systems and offers valuable insights for the development of advanced USV recovery apparatus.

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雷舒媛,李建,王生海,等. 绳驱动无人艇主动对接系统运动控制策略[J]. 科学技术与工程, 2026, 26(24): 10466-10475.
Lei Shuyuan, Li Jian, Wang Shenghai, et al. Motion Control Strategy of Cable-driven Active Docking System for Unmanned Surface Vehicles[J]. Science Technology and Engineering,2026,26(24):10466-10475.

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  • 收稿日期:2025-07-03
  • 最后修改日期:2026-08-21
  • 录用日期:2026-01-07
  • 在线发布日期: 2026-09-02
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