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面向狭小环境检测的柔性机器人运动建模与控制研究
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国家自然科学基金青年科学基金项目52105103;常州大学科技计划项目ZMF20020319;常州市科技计划应用基础研究〖BF〗)项目(CJ20210116;江苏省教育厅自然科学基金面上项目21KJB460029; 中国博士后科学基金项目2022M711436


Motion Modelling and Control of Flexible Robots for Narrow Environment Detection
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    摘要:

    针对传统刚性检测手段因其体积大、自由度低、灵活性差等缺陷,难以适应复杂狭小非结构化环境中的检测需求,且传统组装式连续体机器人存在结构复杂、运动变形差、控制精度低等问题,提出一种面向狭小环境检测应用的柔性一体化连续体机器人,并对其进行运动建模和控制方法研究。在常曲率假设下基于几何分析方法建立机器人的正逆运动学模型,构建其驱动空间、关节空间及操作空间的映射关系,并对其运动特性进行仿真分析。基于蛇形运动机制提出一种柔性连续体机器人运动控制方法,以蛇行运动模型和逆运动学为基础来控制连续体机器人的推送运动。搭建相应的物理样机平台对所建运动模型和所提控制方法进行实验验证,结果表明:所建运动模型能够较为准确地描述柔性检测机器人的弯曲运动特性,所提控制方法实现了机器人的运动控制,且控制效果和控制精度在合理范围内。

    Abstract:

    In view of the fact that traditional rigid inspection means are difficult to adapt to the inspection needs in complex and narrow unstructured environments due to their large size,low degrees of freedom and poor flexibility,and traditional assembled continuum robots have complex structures,poor motion deformation and low control accuracy,a flexible integrated continuum robot for inspection applications in narrow environments was proposed,and its motion modelling and control methods were investigated.A forward and inverse kinematic model of the robot was established under the assumption of constant curvature based on geometric analysis,and the mapping relationships between its drive space,joint space and operation space were constructed,and its motion characteristics were simulated and analyzed.A flexible continuum robot motion control method was proposed based on the serpentine motion mechanism.The pushing motion of the continuum robot was controlled based on the serpentine motion model and inverse kinematics.The corresponding physical prototype platform was built to experimentally validate the proposed motion model and control method.The results show that the proposed motion model can be used to describe the bending motion characteristics of the flexible detection robot more accurately,and the proposed control method can be used to realize the motion control of the robot,and the control effect and control accuracy are within reasonable range.

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张恒,齐飞,窦小明,姜加伟,白东明,裴海珊,朱靖.面向狭小环境检测的柔性机器人运动建模与控制研究[J].机床与液压,2022,50(23):12-19.
ZHANG Heng, QI Fei, DOU Xiaoming, JIANG Jiawei, BAI Dongming, PEI Haishan, ZHU Jing. Motion Modelling and Control of Flexible Robots for Narrow Environment Detection[J]. Machine Tool & Hydraulics,2022,50(23):12-19

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  • 在线发布日期: 2023-01-17
  • 出版日期: 2022-12-15