Robust predictive attitude control with stochastic dynamics

• Autorzy: Violino Elia , Bousson Kouamana

Identyfikatory

DOI

10.17512/jamcm.2022.4.08

• Języki publikacji: EN

Abstrakty

EN

The aim of this work is to design a robust predictive attitude controller when the disturbance is not known and it is modelled based on the stochastic theory and not directly from the environment and its laws. The paper starts with a brief introduction about the interest of attitude control, the state of the art, the limitations and the objectives of the research work. Then it moves on the control model chosen for the work. The main part is related to the modelling of the stochastic disturbance and the actuation of the controller. The results obtained match the initial idea about the capability of the controller to work under an unknown disturbance torque. Indeed, the graphical results show, for all the different conditions considered, that the required attitude is always reached, meaning that the aim of this work was achieved.

Słowa kluczowe

EN

predictive control; attitude control; stochastic disturbance; robust control

PL

sterowanie predykcyjne; zakłócenia stochastyczne; sterowanie odporne

• Wydawca: Wydawnictwo Politechniki Częstochowskiej
• Czasopismo: Journal of Applied Mathematics and Computational Mechanics
• Rocznik: 2022
• Tom: Vol. 21, nr 4
• Strony: 86--97
• Opis fizyczny: Bibliogr. 8 poz., rys., tab.

Twórcy

autor

Violino Elia

• School of Space Engineering, Politecnico di Milano 20156 Milan, Italy

autor

Bousson Kouamana

• LAETA-UBI/AeroG and Department of Aerospace Sciences, University of Beira Interior 6201-001 Covilhã, Portugal

Bibliografia

• [1] Schwenzer, M., Ay, M., Bergs, T., & Abel, D. (2021). Review on model predictive control: An engineering perspective. The International Journal of Advanced Manufacturing Technology, 117(5-6), 1327-1349. https://doi.org/10.1007/s00170-021-07682-3.
• [2] Wang, P., Tang, G.J., Liu, L. H., & Wu, J. (2013). Nonlinear hierarchy-structured predictive control design for a generic hypersonic vehicle. Science China Technological Sciences, 56(8), 2025-2036. https://doi.org/10.1007/s11431-013-5273-7.
• [3] Guiggiani, A., Kolmanovsky, I., Patrinos, P., & Bemporad, A. (2015). Constrained model predictive control of spacecraft attitude with reaction wheels desaturation. 2015 European Control Conference (ECC). https://doi.org/10.1109/ecc.2015.7330731.
• [4] Hegrenæs, Ø., Gravdahl, J.T., & Tøndel, P. (2005). Spacecraft Attitude Control using explicit model predictive control. Automatica, 41(12), 2107-2114. https://doi.org/10.1016/j.automatica. 2005.06.015
• [5] Lu, P. (1994). Nonlinear predictive controllers for continuous systems. Journal of Guidance, Control, and Dynamics, 17(3), 553-560. https://doi.org/10.2514/3.21233.
• [6] Carloni, G., & Bousson, K. (2016). A nonlinear control method for Autonomous Navigation Guidance. International Review of Civil Engineering (IRECE), 7(4), 102. https://doi.org/10.15866/irece.v7i4.10757.
• [7] Crassidis, J.L., Markley, F.L., Anthony, T.C., & Andrews, S.F. (1997). Nonlinear predictive conrol of spacecraft. Journal of Guidance, Control, and Dynamics, 20(6), 1096-1103. https://doi.org/10.2514/2.4191.
• [8] Panik, M.J. (2017). Stochastic Differential Equations: An Introduction with Applications in Population Dynamics Modeling. Wiley Blackwell.

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).