| Full text | |
| Author(s): |
Neves, Gabriel P.
;
Angelico, Bruno A.
;
Oliveira, Ricardo C. L. F.
Total Authors: 3
|
| Document type: | Journal article |
| Source: | MECHATRONICS; v. 89, p. 9-pg., 2023-02-01. |
| Abstract | |
The main contribution of this paper is a new 712 gain-scheduled state-feedback synthesis condition for continuous-time linear parameter-varying (LPV) systems where the parameters have bounded rates of variation. The matrices of the model as well as the control gain can have arbitrary polynomial dependence on the time -varying parameters. The synthesis conditions are formulated in terms of LMI relaxations combined with a search in a bounded scalar parameter, which can be used to obtain controllers with improved performance. As an experimental validation of the results, gain-scheduled controllers are designed and applied to a control moment gyroscope modeled as an LPV system with polynomial dependence on the time-varying parameters. Comparisons with a time-invariant controller, designed with the same performance criterion, are presented to illustrate the advantages of the proposed approach. (AU) | |
| FAPESP's process: | 17/22130-4 - Applied Robust Control |
| Grantee: | Bruno Augusto Angélico |
| Support Opportunities: | Regular Research Grants |