Dynamic Analysis and Controller Design for the Ballbot

Zhuang He, Liang Yan, Xiaoshan Gao, Chris Gerada

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

1 Citation (Scopus)

Abstract

A ballbot is a dynamically stable mobile robot that shows the capability of omnidirectionality, agility, and maneuverability on a floor. This paper presents the design prototype and control scheme of a ballbot. By assuming that the effected noise is white gaussian noise, a Kalman estimator is applied to estimate the internal state of the system. To improve the trajectory tracking performance of the ballbot, a Linear Quadratic Tracking (LQT) controller is designed to balance and transfer the ballbot system taking into account the presence of the noise in system, and the numerical simulation results imply the correctness of the system modeling and effectiveness of LQT control design for a MIMO ballbot system.

Original languageEnglish
Title of host publicationProceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1669-1672
Number of pages4
ISBN (Electronic)9781728151694
DOIs
Publication statusPublished - 9 Nov 2020
Event15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020 - Virtual, Kristiansand, Norway
Duration: 9 Nov 202013 Nov 2020

Publication series

NameProceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020

Conference

Conference15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020
Country/TerritoryNorway
CityVirtual, Kristiansand
Period9/11/2013/11/20

Keywords

  • ballbot
  • Kalman filter
  • Lagrangian method
  • LQT control

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

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