您好,欢迎来到中国测试科技资讯平台!

首页> 数字期刊群 >本期导读>爬壁机器人壁面转向运动滑移研究

爬壁机器人壁面转向运动滑移研究

374    2024-01-15

免费

全文售价

作者:何媛媛1, 唐东林2, 丁超3

作者单位:1. 四川省特种设备检验研究院, 四川 成都 610061;
2. 西南石油大学机电工程学院, 四川 成都 610500;
3. 成都工业学院智能制造学院, 四川 成都 611730


关键词:爬壁机器人;机器人定位;转向滑移修正


摘要:

为实现爬壁机器人在垂直壁面的准确定位和精确运动,提出一种基于激光雷达定位的爬壁机器人绕障滑移修正方法。首先对爬壁机器人进行运动建模和运动学分析,得出激光雷达测量数据坐标转换关系和驱动轮转速与转弯半径的关系;采用里程传感器和倾角传感器相结合的定位方式实现规则矩形障碍物特征点的识别与定位,采用基于激光雷达数据匹配方法实现机器人转向前后定位;对机器人绕障转向滑移情况进行分析,提出机器人滑移修正方法,并计算得出滑移修正参数;最后通过实验对机器人定位及转向滑移修正理论分析进行实验验证,结果表明,向上绕障转向滑移修正误差22.3 mm,向下绕障转向滑移修正误差22 mm。该技术为爬壁机器人壁面转向滑移研究提供相关思路和参考。


Research on wall steering movement slip of wall climbing robot
HE Yuanyuan, TANG Donglin, DING Chao
1. Sichuan Special Equipment Inspection Institute, Chengdu 610061, China;
2. School of Mechanical Engineering, Southwest Petroleum University, Chengdu 610500, China;
3. School of Intelligent Manufacturing, Chengdu Technological University, Chengdu 611730, China
Abstract: To realize the accurate positioning and movement of wall-climbing robot on vertical wall, a method for correcting the slippage of wall-climbing robot around obstacle based on Lidar positioning is proposed. Firstly, the motion modeling and kinematics analysis of the wall-climbing robot are carried out, and the coordinate transformation relationship of the lidar measurement data and the relationship between the driving wheel speed and the turning radius are obtained. The feature points of regular rectangular obstacles were identified and located by combining the range sensor and the inclination sensor. The robot was positioned before and after turning by using the Lidar data matching method. Based on the analysis of the steering slip of the robot around the obstacle, a sliding correction method of the robot is proposed, and the sliding correction parameters are calculated. Finally, the theoretical analysis of robot positioning and steering slip correction is verified by experiments. The results show that the steering slip correction error of upward winding obstacle is 22.3 mm, and that of downward winding obstacle steering slip correction error is 22 mm. This technique provides some ideas and references for the research of wall steering slip of wall-climbing robot.
Keywords: wall climbing robot;robot positioning;steering slip correction
2023, 49(9):140-147  收稿日期: 2022-12-24;收到修改稿日期: 2023-2-19
基金项目: 四川省市场监督管理局科技计划项目(SCSJZ2022007);市场监管总局科技计划项目(2022MK115)
作者简介: 何媛媛(1992-),女,四川南充市人,工程师,硕士,研究方向为承压类特种设备检验检测。
参考文献
[1] FANG Y, WANG S, BI Q, et al. Design and technical development of wall-climbing robots: A review[J]. Journal of Bionic Engineering, 2022: 1-25.
[2] LIU Y, LIM B, LEE J W, et al. Steerable dry-adhesive linkage-type wall-climbing robot[J]. Mechanism and Machine Theory, 2020, 153: 103987.
[3] LIU J, XU L, XU J, et al. Analysis and optimization of the wall-climbing robot with an adsorption system and adhesive belts[J]. International Journal of Advanced Robotic Systems, 2020, 17(3): 1729881420926409.
[4] 夏贤铃, 胡磊. 基于网络传感器融合的移动机器人运动轨迹控制研究[J]. 国外电子测量技术, 2022, 41(2): 95-99.
[5] 王思佳, 吴珊红, 李雷. 爬壁机器人技术研究现状及展望[J]. 科技风, 2019(2): 2.
[6] QIN G, LI C, WU H, et al. Wall-climbing mobile robot for inspecting DEMO vacuum vessel[J]. Applied Sciences, 2022, 12(18): 9260.
[7] LI X P, WANG X, FENG B. Modeling and control of a novel facade cleaning robot with four-ducted fan drive[J]. International Journal of Advanced Robotic Systems, 2021, 18(3): 1729881420985721.
[8] 顾盛明. 风电塔筒轮式爬壁机器人设计与仿真分析[D]. 西安:西安理工大学, 2021.
[9] 韩涛宇. 大型金属罐体爬壁机器人的结构设计与力学性能分析[D]. 南京:东南大学, 2020.
[10] 苏睿, 李刚俊, 郭成操, 张欢, 黄杨森. 巡线机器人的刚柔耦合动力学特性仿真研究[J]. 中国测试, 2021, 47(11): 75-79.
[11] 高继勋, 黄全振, 高振东, 等. 基于反演法的移动机器人轨迹跟踪控制[J]. 中国测试, 2022, 48(8): 130-135.
[12] 丁超, 李刚俊, 唐东林. 储罐轮式机器人转向磁吸附力[J]. 科学技术与工程, 2019, 19(27): 217-223.
[13] ICHTER B, PAVONE M. Robot motion planning in learned latent spaces[J]. IEEE Robotics and Automation Letters, 2019, 4(3): 2407-2414.
[14] KINGSTON Z, KAVRAKI L E. Robowflex: Robot motion planning with MoveIt made easy[C]//2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2022: 3108-3114.
[15] 邵卫林, 陈金忠, 马义来, 等. 基于多传感器数据融合技术的漏磁内检测数据分析[J]. 传感技术学报, 2019, 32(10): 1541-1548.
[16] 傅景能. 星敏感器高精度定姿关键技术研究[D]. 成都:中国科学院大学(中国科学院光电技术研究所), 2022.
[17] 郭春江. 基于单线激光雷达的变量施肥机排肥量测量系统设计与开发[D]. 长春:吉林大学, 2020.
[18] MAHNOOD S K, BAKHY S H, TAWFIK M A. Novel wall-climbing robot capable of transitioning and perching[C]//IOP Conference Series: Materials Science and Engineering. IOP Publishing, 2020, 881(1): 012049.
[19] 李鹏, 张金艺, 韩国川, 等. 激光雷达移动机器人局部搜索跟踪算法[J]. 电子测量技术, 2018, 41(11): 6-9.
[20] 张明宇, 齐瑞锋, 王强, 等. 喷杆机械臂障碍物检测系统设计与性能测试[J]. 中国农业信息, 2021, 33(2): 49-56.