Name
Abstract | ||
|---|---|---|
This paper presents a data-driven control method formulated for the disturbance rejection problem. Inspired on the Virtual Reference Feedback Tuning method, which is based on a tracking reference model, the proposed methodology, entitled Virtual Disturbance Feedback Tuning, is based on a disturbance model. Using only input/output data collected on the process (no process model) and a linearly parameterized controller, the optimal controller is obtained through least squares, resulting in a closed loop system as close as possible to the disturbance model. Experimental results show the efficiency of the proposed methodology. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.ifacsc.2018.01.003 | IFAC Journal of Systems and Control |
Keywords | DocType | Volume |
Data-driven control,PID Control,Disturbance rejection,Disturbance model,VRFT | Journal | 3 |
ISSN | Citations | PageRank |
2468-6018 | 0 | 0.34 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Diego Eckhard | 1 | 17 | 3.57 |
| L. Campestrini | 2 | 16 | 5.63 |
| Emerson Christ Boeira | 3 | 0 | 0.34 |