基于协作容错的组合体机器人主动抗扰安全控制
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TP273

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国家自然科学基金项目(62106027).


Active disturbance rejection and security control of combined robots based on collaborative fault tolerance
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    摘要:

    在非结构化任务环境中, 多个移动机器人通过协同重构形成组合体机器人是提升机器人任务适应性的重要手段, 然而, 关于组合体机器人实际应用部署建模和控制方面的进展仍然不足. 鉴于此, 首先, 基于非完整约束和拉格朗日方法, 建立任意重构尺度下组合体机器人的运动学和动力学模型: 在运动学层级, 设计基于自适应边界补偿安全围栏的平滑避障策略, 保障在运动过程中的安全性; 在动力学层级, 通过引入自适应协作容错机制, 保障组合体机器人系统转矩分配的合理性, 避免性能下降, 以增强运动过程中的容错能力. 然后, 提出一种新型的滤波扩张状态观测器, 该观测器可通过抑制噪声引起的高频振荡现象, 实现未知集总扰动下对速度的鲁棒跟踪控制. 最后, 搭建真实的组合体机器人实验平台, 进一步验证所提出方法的容错性、鲁棒性和安全性.

    Abstract:

    In the unstructured task environment, the collaborative reconstruction of multiple mobile robots to form combined robots is significant to improve the task adaptability. However, in general, the progress in modeling and control for enabling the practical deployment of combined robots is still insufficient. Based on nonholonomic constraints and the Lagrange method, the kinematics and dynamics of combined robots at arbitrary reconstruction scales are established. At the kinematic level, a smooth obstacle avoidance strategy based on adaptive boundary compensation safety geofences is designed to ensure the safety during movement. At the dynamic level, the adaptive cooperative fault-tolerant mechanism is introduced to ensure the rationality of the torque distribution of the robot system and avoid performance degradation, to enhance the fault-tolerant ability during motion. At the same time, a new filter extended state observer (FESO) is proposed, which can realize robust tracking control of velocity under unknown lumped disturbance by suppressing high frequency oscillation caused by noise. Finally, a real combined robot experiment platform is built to further verify the fault tolerance, robustness and safety of the proposed method.

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王健翔,江涛,郑志,等.基于协作容错的组合体机器人主动抗扰安全控制[J].控制与决策,2025,40(8):2534-2544

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  • 收稿日期:2024-11-19
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  • 在线发布日期: 2025-07-11
  • 出版日期: 2025-08-20
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