Vincent Y. Philippart, Kristian O. Snel, Antoine M. de Waal, J. Jeedella, E. Najafi
{"title":"Model-Based Design for a Self-Balancing Robot using the Arduino Micro-Controller Board","authors":"Vincent Y. Philippart, Kristian O. Snel, Antoine M. de Waal, J. Jeedella, E. Najafi","doi":"10.1109/ICMECT.2019.8932131","DOIUrl":null,"url":null,"abstract":"Self-balancing robot control is a common way to challenge students in control-oriented courses to stabilize an unstable, non-linear dynamic system. This paper presents an application of model-based design on a self-balancing robot using the Arduino Due micro-controller board. The system consists of a set DC-motors with quadrature encoders, a nine degree of freedom (9-DOF), a Bluetooth module, a motor controller and a micro-controller. By utilizing cheap off-the-shelf hardware and applying model-based design techniques and simulations an accessible learning environment is created. Both the PID and LQR controllers will be discussed for their educational value.","PeriodicalId":309525,"journal":{"name":"2019 23rd International Conference on Mechatronics Technology (ICMT)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 23rd International Conference on Mechatronics Technology (ICMT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMECT.2019.8932131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Self-balancing robot control is a common way to challenge students in control-oriented courses to stabilize an unstable, non-linear dynamic system. This paper presents an application of model-based design on a self-balancing robot using the Arduino Due micro-controller board. The system consists of a set DC-motors with quadrature encoders, a nine degree of freedom (9-DOF), a Bluetooth module, a motor controller and a micro-controller. By utilizing cheap off-the-shelf hardware and applying model-based design techniques and simulations an accessible learning environment is created. Both the PID and LQR controllers will be discussed for their educational value.