{"title":"Controllers comparison to balancing and trajectory tracking a two wheeled mobile robot","authors":"A. Abougarair","doi":"10.15406/iratj.2019.05.00168","DOIUrl":null,"url":null,"abstract":"This paper presents an optimal controller design using three different algorithms for trajectory tracking of Two Wheeled Balancing Mobile Robot (TWBMR). All the proposed algorithms have been investigated through simulations under the influence of different inputs tracking and exogenous disturbance. This attempts to validate the significance of these algorithms in balance regulation and tracking trajectory. These algorithms are represented by PID-PID based parallel dual feed-back, serial dual feed-back and hybrid optimal control using Feed-forward PID and Feed-back LQR. Simulation results are provided to demonstrate that, the hybrid controller can achieve a better robust performance in comparing to the other two design algorithms. The graphical user interface (GUI) software has been used to show the simulation results in more convenient way.","PeriodicalId":54943,"journal":{"name":"International Journal of Robotics & Automation","volume":"C-20 1","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2019-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Robotics & Automation","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.15406/iratj.2019.05.00168","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 4
Abstract
This paper presents an optimal controller design using three different algorithms for trajectory tracking of Two Wheeled Balancing Mobile Robot (TWBMR). All the proposed algorithms have been investigated through simulations under the influence of different inputs tracking and exogenous disturbance. This attempts to validate the significance of these algorithms in balance regulation and tracking trajectory. These algorithms are represented by PID-PID based parallel dual feed-back, serial dual feed-back and hybrid optimal control using Feed-forward PID and Feed-back LQR. Simulation results are provided to demonstrate that, the hybrid controller can achieve a better robust performance in comparing to the other two design algorithms. The graphical user interface (GUI) software has been used to show the simulation results in more convenient way.
期刊介绍:
First published in 1986, the International Journal of Robotics and Automation was one of the inaugural publications in the field of robotics. This journal covers contemporary developments in theory, design, and applications focused on all areas of robotics and automation systems, including new methods of machine learning, pattern recognition, biologically inspired evolutionary algorithms, fuzzy and neural networks in robotics and automation systems, computer vision, autonomous robots, human-robot interaction, microrobotics, medical robotics, mobile robots, biomechantronic systems, autonomous design of robotic systems, sensors, communication, and signal processing.