Design and evaluation of two-wheeled balancing robot chassis: Case study for Lego bricks

Hany Ferdinando*, Handry Khoswanto, Djoko Purwanto, Stefanus Tjokro

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Two-wheeled balancing robot is one of interesting nonlinear plant. The goal is to control the robot so that it can move with only two wheels. This paper elaborates the design and evaluation of its chassis. The chassis is constructed with Lego Mindstorm NXT and controlled by the AVR ATMega16 microcontroller. The system uses MX2125 accelerometer sensor from Parallax to evaluate the robot chassis. Two chassis design, i.e. model A and B are developed. From the experiments, it is shown that robot chassis design must address the mechanically stable issue. Therefore chassis model A is discarded. PD controller is recommended for this chassis model B. The chassis also considers the flexibility to mount such a load. Mounting load under the axis helps to stabilize the chassis. This makes the controller design easier. The load position opens the further research topic. Using Lego Mindstorm is very helpful in design and evaluation of mechatronics set up.

Original languageEnglish
Title of host publicationINISTA 2011 - 2011 International Symposium on INnovations in Intelligent SysTems and Applications
Pages514-518
Number of pages5
DOIs
Publication statusPublished - 2011
Event2011 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2011 - Istanbul-Kadikoy, Turkey
Duration: 15 Jun 201118 Jun 2011

Publication series

NameINISTA 2011 - 2011 International Symposium on INnovations in Intelligent SysTems and Applications

Conference

Conference2011 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2011
Country/TerritoryTurkey
CityIstanbul-Kadikoy
Period15/06/1118/06/11

Keywords

  • MX2125
  • chassis
  • the AVR microcontroller
  • two-wheeled balancing robot

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