Abstract
Dear Editor, This letter deals with the tracking problem of quadrotors subject to external disturbances and visibility constraints by designing a robust model predictive control (RMPC) scheme. According to the image-based visual servoing (IBVS) method, a virtual camera is constructed to express image moments of the tracking target. Furthermore, we design time-varying visibility constraints to cater to UAV attitudes in the RMPC optimization problem so that the tracking target always stays within the field of view (FoV) of the aerial camera. Moreover, the RMPC algorithm is proved to be recursively feasible, and the closed-loop system is stable. Finally, numerical experiments verify the efficacy of the proposed method.
| Original language | English |
|---|---|
| Pages (from-to) | 2027-2029 |
| Number of pages | 3 |
| Journal | IEEE/CAA Journal of Automatica Sinica |
| Volume | 11 |
| Issue number | 9 |
| DOIs | |
| State | Published - 2024 |
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