Trajectory Tracking of a Wheeled Wall Climbing Robot Using PID Controller

C. Kuo, Hung-Chyun Chou, F. Chernousko, V. Gradetsky, N. Bolotnik, Yunafi'atul Aniroh, E. Setijadi
{"title":"Trajectory Tracking of a Wheeled Wall Climbing Robot Using PID Controller","authors":"C. Kuo, Hung-Chyun Chou, F. Chernousko, V. Gradetsky, N. Bolotnik, Yunafi'atul Aniroh, E. Setijadi","doi":"10.1109/ICAMIMIA.2015.7508019","DOIUrl":null,"url":null,"abstract":"One of the most challenging research topics in robotics is the wall climbing robot. The wall climbing robots are able to perform dangerous operation, such as cleaning the high-rise building. This paper present Trajectory Tracking of a Wheeled Wall Climbing Robot Using PID Controller. To make sure that the wheels can be always well contacted to the wall without sacrificing robot's mobility is the most important consideration for controlling the wall-climbing robot. To evaluate the performance of the robot and the proposed controller, this paper conducted experiments of several trajectory tracking. Practically, encoder sensor provides the spatial posture information for realizing PID control schemes. The sensor is connected to a field-programmable gate array (FPGA) based onboard motion controller to generate control inputs for wheel motors and suction motor according to a specific trajectory. Finally, real tests were performed with the trajectories of circle, triangle and rectangle. The results were evaluated according to the measurement of the accuracy of trajectory.","PeriodicalId":162848,"journal":{"name":"2015 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAMIMIA.2015.7508019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

One of the most challenging research topics in robotics is the wall climbing robot. The wall climbing robots are able to perform dangerous operation, such as cleaning the high-rise building. This paper present Trajectory Tracking of a Wheeled Wall Climbing Robot Using PID Controller. To make sure that the wheels can be always well contacted to the wall without sacrificing robot's mobility is the most important consideration for controlling the wall-climbing robot. To evaluate the performance of the robot and the proposed controller, this paper conducted experiments of several trajectory tracking. Practically, encoder sensor provides the spatial posture information for realizing PID control schemes. The sensor is connected to a field-programmable gate array (FPGA) based onboard motion controller to generate control inputs for wheel motors and suction motor according to a specific trajectory. Finally, real tests were performed with the trajectories of circle, triangle and rectangle. The results were evaluated according to the measurement of the accuracy of trajectory.
基于PID控制器的轮式爬壁机器人轨迹跟踪
攀壁机器人是机器人领域最具挑战性的研究课题之一。爬墙机器人能够执行危险的操作,如清洁高层建筑。提出了一种基于PID控制的轮式爬壁机器人的轨迹跟踪方法。在不牺牲机器人机动性的前提下,保证车轮始终与墙体良好接触是攀壁机器人控制最重要的考虑因素。为了评估机器人和所提控制器的性能,本文进行了几种轨迹跟踪实验。实际上,编码器传感器为PID控制方案的实现提供空间姿态信息。该传感器连接到基于现场可编程门阵列(FPGA)的机载运动控制器,根据特定轨迹为轮式电机和吸力电机生成控制输入。最后,用圆形、三角形和矩形轨迹进行了实际测试。根据弹道精度的测量对结果进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信