{"title":"Finite Time Identification and Adaptive Robust Tracking Control of wheeled Mobile Robot with Constraint in Inputs","authors":"H. Mohammadi, M. Kheirandish","doi":"10.1109/ICROM.2017.8466158","DOIUrl":null,"url":null,"abstract":"In this paper, finite identification and tracking of a wheeled mobile robot (WMR) have been studied. First, a three-wheeled mobile robot with 3-DoF has been modeled with unknown time-varying parameters. Then, a Finite-Time identification algorithm is presented and it is shown that the system can be identified with the proposed algorithm efficiently. Then, a tracking controller is designed which helps the system track the desired trajectory. Finally, simulations are performed using a saturation function that regulates the motor torques due to the limitations of motor's power supplied. Results demonstrate efficiency and usefulness of the proposed tracking controller and identification method; the system tracks the desired trajectory in the presence of noise and uncertainty. Unknown parameters are also identified accurately.","PeriodicalId":166992,"journal":{"name":"2017 5th RSI International Conference on Robotics and Mechatronics (ICRoM)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 5th RSI International Conference on Robotics and Mechatronics (ICRoM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICROM.2017.8466158","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
In this paper, finite identification and tracking of a wheeled mobile robot (WMR) have been studied. First, a three-wheeled mobile robot with 3-DoF has been modeled with unknown time-varying parameters. Then, a Finite-Time identification algorithm is presented and it is shown that the system can be identified with the proposed algorithm efficiently. Then, a tracking controller is designed which helps the system track the desired trajectory. Finally, simulations are performed using a saturation function that regulates the motor torques due to the limitations of motor's power supplied. Results demonstrate efficiency and usefulness of the proposed tracking controller and identification method; the system tracks the desired trajectory in the presence of noise and uncertainty. Unknown parameters are also identified accurately.