Abstract
The Gyrover is a single-wheel gyroscopically stabilized mobile robot developed at Carnegie Mellon University. An internal pendulum serves as a counter weight for a drive motor that causes fore/aft motion, while a large gyroscope on a tilt mechanism provides for lateral balance and steering actuation. In this paper, we develop a detailed dynamic model for the Gyrover and use this model in an extended Kalman filter to estimate the complete state. A linearized version of the model is used to develop a state feedback controller. The design methodology is based on a semi-definite programming procedure which optimizes the stability region subject to a set of linear matrix inequalities that capture stability and pole placement constraints. Finally, the controller design combined with the extended Kalman filter are verified on the robot prototype.
| Original language | English |
|---|---|
| Pages (from-to) | 459-475 |
| Number of pages | 17 |
| Journal | Advanced Robotics |
| Volume | 14 |
| Issue number | 6 |
| DOIs | |
| State | Published - 2000 |
| Externally published | Yes |
Keywords
- Gyroscope
- Linear matrix inequalities
- Robot control
- Symbolic modeling