工作区
运动学
机器人
控制理论(社会学)
前馈
反向动力学
机器人末端执行器
曲率
计算机科学
机器人运动学
直角坐标机器人
模拟
控制工程
工程类
物理
数学
人工智能
经典力学
移动机器人
几何学
控制(管理)
作者
Xinjia Huang,Jiang Zou,Guoying Gu
出处
期刊:IEEE-ASME Transactions on Mechatronics
[Institute of Electrical and Electronics Engineers]
日期:2021-01-28
卷期号:26 (6): 3175-3185
被引量:99
标识
DOI:10.1109/tmech.2021.3055339
摘要
The compliant structure and influence of external forces usually result in complex deformation of soft continuum robots, which makes the accurate modeling and control of the robot challenging. In this article, we present a new variable curvature kinematic modeling approach for soft continuum robots by taking the external forces into consideration, achieving both accurate motion simulation and feedforward control of the robot. To this end, the variable curvature configuration is first parameterized based on the absolute nodal coordinate formulation. Then, a kinematic model is developed to describe the mappings between the defined configuration space and the actuation space with payloads. With this model, we achieve accurate and fast motion simulation for the soft continuum robot with different payloads and input pressures within 1 ms, which is verified by a set of experiments. Finally, an inverse-model-based feedforward controller is developed for a two-section soft continuum robot. The experimental results of tracking complex trajectories verify the effectiveness of our model and control strategies. The average position error of the end effector is 2.89% of the robot length. This article can also be served as a tool to design and analyze soft continuum robots with a desired workspace.
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