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缆索轮式攀爬机器人结构设计与优化

Structural design and optimization of cable wheeled climbing robot

  • 摘要: 为了提高缆索攀爬机器人的轻量化程度与工况适应能力,解决夹紧机构输出力不足的关键问题,设计并优化了一种轮式爬升、压簧夹紧的缆索攀爬机器人。该机器人可应用于桥梁拉索、索道缆索及煤矿钢丝绳等典型缆索结构的检测与维护作业。提出了以下设计与优化方案:首先,设计机器人的整体结构,分析其静止与运动过程中的受力情况,完成关键零部件选型,并设计双电机驱动控制系统。其次,应用拓扑优化方法对机器人的驱动底板和从动底板进行结构减重优化,分别实现39.6%和36.5%的显著减重。针对夹紧力不足的重要问题,深入分析夹紧机制,提出并设计了一种纵置压簧夹紧结构。该结构利用杠杆原理,将压簧产生的弹力以1.6倍的放大比率高效转化为驱动轮对缆索的正压力;同时,设计允许根据实际工况需求动态配置压簧数量,实现夹紧力的灵活调节。最后,搭建物理样机,对优化后机器人的综合性能和越障能力进行系统试验。结果表明:机器人可稳定适应直径40~120 mm的缆索,在垂直攀爬工况下实现5 kg负载与0.22 m/s爬升速度,能跨越5和8 mm障碍并保持平稳运行。轻量化设计降低了能耗与驱动负载,夹紧机构优化提升了复杂工况下的适应性。结论表明,所提方法实现了结构减重与夹紧力增强的设计目标,具有良好的工程可行性。后续研究将结合有限元与多目标优化,并逐步引入视觉检测与磁探伤模块,以拓展其在缆索及煤矿钢丝绳健康监测中的应用。

     

    Abstract: To improve the lightweight design and adaptability of cable-climbing robots for bridge inspection, and to address the critical issue of insufficient output force from the clamping mechanism, a cable-climbing robot featuring wheel-based propulsion and spring-loaded clamping was designed and optimized. The robot can be applied to the inspection and maintenance of typical cable structures such as bridge stay cables, ropeways, and mining steel wire ropes. The following design and optimization strategies were proposed: First, the overall structure of the robot was designed, with force analysis conducted during both static and dynamic states. Key components were selected accordingly, and a dual-motor drive control system was developed. Then, to reduce structural weight, topology optimization was applied to the robot’s drive and driven base plates, achieving significant weight reductions of 39.6% and 36.5%, respectively. To solve the problem of insufficient clamping force, the clamping mechanism was analyzed in depth, leading to the design of a longitudinally mounted spring clamping structure. This mechanism uses the lever principle to amplify the spring’s elastic force by a factor of 1.6, converting it efficiently into normal force acting on the drive wheels. Moreover, the number of springs can be dynamically adjusted based on real-world conditions, such as cable diameter, load, or obstacle difficulty, enabling flexible and enhanced clamping performance. Finally, a physical prototype was built and systematically tested for overall performance and obstacle-crossing capabilities. The results show that the robot can steadily adapt to cables with diameters ranging from 40 to 120 mm, achieving a climbing speed of 0.22 m/s under a 5 kg load, and can cross 5 mm and 8 mm obstacles while maintaining stable operation. The lightweight design effectively reduces energy consumption and drive load, while the optimized clamping mechanism enhances adaptability under complex operating conditions. The proposed method achieves the design goals of structural weight reduction and clamping force enhancement, demonstrating good engineering feasibility. Future work will integrate finite element and multi-objective optimization methods and gradually incorporate vision inspection and magnetic flaw detection modules to extend its application to the health monitoring of cables and mining wire ropes.

     

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