Abstract
A classical mixed sensitivity minimization approach and a model matching formulation are compared with the goal to design a linear parameter-varying augmented state feedback control law for a laboratory-scale control moment gyroscope. Dynamic weighting filters are used to impose integral action and roll-off on the controller. Consequently, measurement noise is effectively suppressed and steady state accuracy is guaranteed even in the presence of input disturbances. Both designs are validated in real-time experiments and compared to a previous design that uses static weights. With the new designs, control effort is reduced while transient performance is maintained and tracking accuracy, as well as disturbance attenuation, is improved.
| Original language | English (US) |
|---|---|
| Title of host publication | 19th IFAC World Congress IFAC 2014, Proceedings |
| Editors | Edward Boje, Xiaohua Xia |
| Publisher | IFAC Secretariat |
| Pages | 6129-6134 |
| Number of pages | 6 |
| ISBN (Electronic) | 9783902823625 |
| DOIs | |
| State | Published - 2014 |
| Externally published | Yes |
| Event | 19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014 - Cape Town, South Africa Duration: Aug 24 2014 → Aug 29 2014 |
Publication series
| Name | IFAC Proceedings Volumes (IFAC-PapersOnline) |
|---|---|
| Volume | 19 |
| ISSN (Print) | 1474-6670 |
Other
| Other | 19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014 |
|---|---|
| Country/Territory | South Africa |
| City | Cape Town |
| Period | 8/24/14 → 8/29/14 |
Bibliographical note
Publisher Copyright:© IFAC.
Keywords
- Gyroscopes
- Linear parameter-varying systems
- Mixed sensitivity problem
- Multivariable control systems
- Robust control applications
- Robust controller synthesis