Model-Based Design for a Self-Balancing Robot using the Arduino Micro-Controller Board
Vincent Y. Philippart, Kristian O. Snel, Antoine M. de Waal, Jeedella S. Y. Jeedella, Esmaeil Najafi
- Year
- 2019
- Citations
- 6
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.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991