Research on Improved Hybrid Polynomial Interpolation Algorithm for Rail Inspection Robot

Ruoyu Xu, Jianyan Tian, Xinpeng Zhai, Jifu Li, Jinrong Zou
{"title":"Research on Improved Hybrid Polynomial Interpolation Algorithm for Rail Inspection Robot","authors":"Ruoyu Xu, Jianyan Tian, Xinpeng Zhai, Jifu Li, Jinrong Zou","doi":"10.1145/3501409.3501622","DOIUrl":null,"url":null,"abstract":"In order to ensure the track stability when the rail inspection robot automatically tracks the moving target and reduce the amplitude of angular velocity and angular acceleration, it is necessary to study the trajectory planning strategy. Aiming at the problem that the amplitude of angular velocity and angular acceleration of 3-5-3 hybrid polynomial interpolation algorithm is too high, a 3-3-5 hybrid polynomial interpolation trajectory planning method is proposed. Firstly, the D-H (Denavit-Hartenberg) model of the rail inspection robot is used to compute its kinematics equation. Secondly, according to the constraints of motion curve (angle, angular velocity, angular acceleration continuous), kinematics constraints are obtained and interpolation points are determined. Thirdly, the coefficient expression of the hybrid polynomial interpolation algorithm is solved by substituting kinematics constraints and interpolation points into the formula of the 3-3-5 hybrid polynomial interpolation algorithm. Finally, the 3-3-5 hybrid polynomial interpolation algorithm is simulated in MATLAB. The results show that the 3-3-5 hybrid polynomial interpolation algorithm can effectively reduce the amplitude of the angular velocity and angular acceleration, reduce the jerk of the motor, and improve the overall motion performance of the inspection robot.","PeriodicalId":191106,"journal":{"name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3501409.3501622","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

In order to ensure the track stability when the rail inspection robot automatically tracks the moving target and reduce the amplitude of angular velocity and angular acceleration, it is necessary to study the trajectory planning strategy. Aiming at the problem that the amplitude of angular velocity and angular acceleration of 3-5-3 hybrid polynomial interpolation algorithm is too high, a 3-3-5 hybrid polynomial interpolation trajectory planning method is proposed. Firstly, the D-H (Denavit-Hartenberg) model of the rail inspection robot is used to compute its kinematics equation. Secondly, according to the constraints of motion curve (angle, angular velocity, angular acceleration continuous), kinematics constraints are obtained and interpolation points are determined. Thirdly, the coefficient expression of the hybrid polynomial interpolation algorithm is solved by substituting kinematics constraints and interpolation points into the formula of the 3-3-5 hybrid polynomial interpolation algorithm. Finally, the 3-3-5 hybrid polynomial interpolation algorithm is simulated in MATLAB. The results show that the 3-3-5 hybrid polynomial interpolation algorithm can effectively reduce the amplitude of the angular velocity and angular acceleration, reduce the jerk of the motor, and improve the overall motion performance of the inspection robot.
轨道检测机器人改进混合多项式插值算法研究
为了保证轨道检测机器人自动跟踪运动目标时的轨道稳定性,减小角速度和角加速度的幅值,有必要对轨道规划策略进行研究。针对3-5-3混合多项式插值算法角速度和角加速度幅值过高的问题,提出了3-5-5混合多项式插值轨迹规划方法。首先,利用D-H (Denavit-Hartenberg)模型计算轨道检测机器人的运动学方程;其次,根据运动曲线的约束条件(角度、角速度、角加速度连续),得到运动学约束条件,确定插补点;第三,将运动学约束和插补点代入3-3-5混合多项式插补算法的公式,求解混合多项式插补算法的系数表达式。最后,在MATLAB中对3-3-5混合多项式插值算法进行了仿真。结果表明,3-3-5混合多项式插值算法能有效地减小角速度和角加速度的幅值,减小电机的抖动,提高检测机器人的整体运动性能。
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