{"title":"Model identification and validation of cascade control schemes for a differential drive mobile robot","authors":"Bhalekar Vaibhav Bhausaheb, Ps Saikrishna","doi":"10.1109/ROBIO58561.2023.10354643","DOIUrl":null,"url":null,"abstract":"This paper presents a reduced order dynamic model of a differential drive mobile robot (DDMR). The model is validated with data collected from a mobile robot in real time. Based on the obtained model, a controller for tracking DDMR trajectory is designed and implemented. This paper presents a cascade control scheme for trajectory tracking control for a variety of complex trajectory tracking applications. Experimental and simulation results show that control design is able to track several challenging reference paths successfully with an acceptable tracking error.","PeriodicalId":505134,"journal":{"name":"2023 IEEE International Conference on Robotics and Biomimetics (ROBIO)","volume":"65 7","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Robotics and Biomimetics (ROBIO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBIO58561.2023.10354643","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a reduced order dynamic model of a differential drive mobile robot (DDMR). The model is validated with data collected from a mobile robot in real time. Based on the obtained model, a controller for tracking DDMR trajectory is designed and implemented. This paper presents a cascade control scheme for trajectory tracking control for a variety of complex trajectory tracking applications. Experimental and simulation results show that control design is able to track several challenging reference paths successfully with an acceptable tracking error.