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CEAS EuroGNC 2026

Attitude control design for a multirotor UAV: a predictor-based approach
Marco Lovera Professor, Department of Aerospace Science and Technology, Politecnico di Milano, Milano, Italy.
Abstract:
In this paper, the problem of designing the attitude control law of a multirotor Unmanned Aerial Vehicle (UAV) is considered and a data-driven approach is proposed. With respect to previous work, the data-driven approach considered in this paper is the novel Virtual Reference Predictor-Based (VRPB) method, which will be used to design the controller based on data collected during closed-loop operation. Simulation results generated using a model of the attitude dynamics of a quadrotor UAV are used to illustrate the performance of the proposed design method.
Keywords: UAV; Attitude control; Data-driven control
 View PDF CEAS-GNC-2026-083 doi: 10.82124/CEAS-GNC-2026-083


Marco Lovera: Attitude control design for a multirotor UAV: a predictor-based approach. Proceedings of the 2026 CEAS EuroGNC conference. Madrid, Spain. May 2026. doi: 10.82124/CEAS-GNC-2026-083.
BibTeX entry (UTF-8):

@Incollection{CEAS-GNC-2026-083,
    author = {Lovera, Marco},
    title = {Attitude control design for a multirotor UAV: a predictor-based approach},
    booktitle = {Proceedings of the 2026 {CEAS EuroGNC} conference},
    address = {Madrid, Spain},
    month = may,
    year = {2026},
    doi = {10.82124/CEAS-GNC-2026-083}
}