Differential Drive Mobile Robot Motion Accuracy Improvement with Odometry-Compass Sensor Fusion Implementation

S. Sungkono, Gillang Al Azhar, Adi Candra Kusuma, Syarifatul Izza
{"title":"Differential Drive Mobile Robot Motion Accuracy Improvement with Odometry-Compass Sensor Fusion Implementation","authors":"S. Sungkono, Gillang Al Azhar, Adi Candra Kusuma, Syarifatul Izza","doi":"10.26418/elkha.v15i1.62095","DOIUrl":null,"url":null,"abstract":"The Implementation of wheeled robot technology in the development of transportation vehicles makes them capable for operating automatically. In order to operate automatically, a vehicle requires stable control system which including motion kinematic algorithm where is developed in a robotic system. With the aim of being able to build an Unmanned Grounded Vehicle (UGV), in this study an UGV prototype was made in the form of a wheeled robot with Differential Drive Mobile Robot (DDMR) system. The robot is controlled by motion kinematic control algorithm and a trajectory tracking system that is used to get an estimate of the position caused by the robot’s movement, beside it made the robot can operate automatically. To support the performance of the control system, the robot prototype is added with a compass sensor which used as the wheel odometry sensor’s support. The process of combining wheel odometry and compass sensor data is carried out by using the sensor fusion algorithm, where the limit value for the RMS error for the position accuracy is not more than 0.15 meters. As the result of the trials, by adding a compass sensor and implementing sensor fusion algorithm is able to reduce the average RMS (Root Mean Square) error value of the motion accuracy into below 0.15 meters which previously worth 0.392 meters decreased into 0.075 meters.","PeriodicalId":32754,"journal":{"name":"Elkha Jurnal Teknik Elektro","volume":"30 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Elkha Jurnal Teknik Elektro","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26418/elkha.v15i1.62095","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The Implementation of wheeled robot technology in the development of transportation vehicles makes them capable for operating automatically. In order to operate automatically, a vehicle requires stable control system which including motion kinematic algorithm where is developed in a robotic system. With the aim of being able to build an Unmanned Grounded Vehicle (UGV), in this study an UGV prototype was made in the form of a wheeled robot with Differential Drive Mobile Robot (DDMR) system. The robot is controlled by motion kinematic control algorithm and a trajectory tracking system that is used to get an estimate of the position caused by the robot’s movement, beside it made the robot can operate automatically. To support the performance of the control system, the robot prototype is added with a compass sensor which used as the wheel odometry sensor’s support. The process of combining wheel odometry and compass sensor data is carried out by using the sensor fusion algorithm, where the limit value for the RMS error for the position accuracy is not more than 0.15 meters. As the result of the trials, by adding a compass sensor and implementing sensor fusion algorithm is able to reduce the average RMS (Root Mean Square) error value of the motion accuracy into below 0.15 meters which previously worth 0.392 meters decreased into 0.075 meters.
差动驱动移动机器人运动精度的改进与里程表-罗盘传感器融合实现
轮式机器人技术在交通运输工具开发中的应用,使其具备了自动运行的能力。为了使车辆自动运行,需要稳定的控制系统,其中包括运动运动学算法,而运动运动学算法是机器人系统中发展起来的。为了能够构建无人地面车辆(UGV),在本研究中,以轮式机器人与差动驱动移动机器人(DDMR)系统的形式制作了UGV原型。通过运动运动学控制算法和轨迹跟踪系统对机器人进行控制,通过轨迹跟踪系统对机器人运动引起的位置进行估计,使机器人能够自动运行。为了支持控制系统的性能,在机器人样机中增加了罗盘传感器作为车轮里程计传感器的支撑。采用传感器融合算法对车轮里程计和罗经传感器数据进行结合处理,其中定位精度的均方根误差极限值不大于0.15米。试验结果表明,通过增加罗盘传感器并实施传感器融合算法,可以将运动精度的平均均方根误差值从0.392米降低到0.075米,降低到0.15米以下。
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
23
审稿时长
10 weeks
×
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:481959085
Book学术官方微信