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 language | English |
|---|---|
| Title of host publication | Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1669-1672 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781728151694 |
| DOIs | |
| State | Published - 9 Nov 2020 |
| Event | 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020 - Virtual, Kristiansand, Norway Duration: 9 Nov 2020 → 13 Nov 2020 |
Publication series
| Name | Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020 |
|---|
Conference
| Conference | 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020 |
|---|---|
| Country/Territory | Norway |
| City | Virtual, Kristiansand |
| Period | 9/11/20 → 13/11/20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Kalman filter
- LQT control
- Lagrangian method
- ballbot
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