Behavior-predefined adaptive control for heterogeneous continuum robots

视觉伺服 机器人 运动学 计算机科学 机器人控制 控制理论(社会学) 稳健性(进化) 机器人运动学 控制(管理) 移动机器人 控制工程 人工智能 工程类 物理 生物化学 化学 经典力学 基因
作者
Ning Tan,Peng Yu,Xin Wang,Kai Huang
出处
期刊:The International Journal of Robotics Research [SAGE Publishing]
卷期号:44 (1): 65-95
标识
DOI:10.1177/02783649241259138
摘要

Continuum robots have great application value and broad prospects in various fields due to their dexterity and compliance. To fully exploit their advantages, it is crucial to develop an effective, accurate and robust control system for them. However, research on continuum robot control is still in its infancy and there are many problems remaining unsolved in this field. In particular, this paper focuses on the task-space behavior and the generic control of heterogeneous continuum robots. First, a controller is proposed to achieve the kinematic motion control and visual servoing of continuum robots with predefined task-space behavior. The predefined behavior is twofold: prescribed task-space error and predefined convergence time. Then, the proposed controller is integrated with a velocity-level kinematic mapping estimator to obtain a model-free control system, which is applicable to heterogeneous continuum robots. Furthermore, a re-adjustable performance function is proposed to ensure the effectiveness and robustness of the proposed control system in the presence of external disturbance. Finally, extensive simulations and experiments are performed based on heterogeneous continuum robots, including the cable-driven continuum robot, the parallel continuum robot, the concentric-tube robot, the flexible endoscope, and the pneumatic continuum robot. Our results demonstrate that the task-space error of heterogeneous continuum robots complies with the prescribed boundaries and converges to steady state in predefined time, which reveals the efficacy of the proposed control method.
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