@inproceedings{f14fff76210e4b89b7856bbf508b2074,
title = "Self-scheduled control of a gyroscope",
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.",
keywords = "Gyroscopes, Linear parameter-varying systems, Mixed sensitivity problem, Multivariable control systems, Robust control applications, Robust controller synthesis",
author = "Julian Theis and Christian Radisch and Herbert Werner",
year = "2014",
doi = "10.3182/20140824-6-za-1003.01058",
language = "English (US)",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
pages = "6129--6134",
editor = "Edward Boje and Xiaohua Xia",
booktitle = "19th IFAC World Congress IFAC 2014, Proceedings",
note = "19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014 ; Conference date: 24-08-2014 Through 29-08-2014",
}