Finite-time disturbance observer-based modified super-twisting algorithm for systems with mismatched disturbances: Application to fixed-wing UAVs under wind disturbancesopen access
- Authors
- Ngo Phong Nguyen; Oh, Hyondong; Kim, Yoonsoo; Moon, Jun; Yang, Jun; Chen, Wen-Hua
- Issue Date
- Oct-2021
- Publisher
- John Wiley & Sons Inc.
- Keywords
- finite-time disturbance observer; fixed-wing UAVs; matched and mismatched disturbances; modified super-twisting algorithm; path following control
- Citation
- International Journal of Robust and Nonlinear Control, v.31, no.15, pp 7317 - 7343
- Pages
- 27
- Indexed
- SCIE
SCOPUS
- Journal Title
- International Journal of Robust and Nonlinear Control
- Volume
- 31
- Number
- 15
- Start Page
- 7317
- End Page
- 7343
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/3221
- DOI
- 10.1002/rnc.5678
- ISSN
- 1049-8923
1099-1239
- Abstract
- This article proposes a finite-time disturbance observer-based modified super-twisting algorithm (FDO-STA) for disturbed high-order integrator-chain systems under matched and mismatched disturbances. We first design a finite-time observer for disturbance estimation, in which we show the finite-time convergence of disturbance estimation errors to zero. Second, by employing the estimates of disturbances and their derivatives, a new dynamic sliding surface is derived, which ensures the finite-time convergence of the controlled output to zero in the sliding phase. Then, based on the estimates of disturbances and their derivatives, the designed sliding surface, and a modified super-twisting algorithm, we develop the FDO-STA, which guarantees the finite-time convergence of the sliding variable to zero in the reaching phase. Rigorous analysis is provided to show the finite-time stability of the overall closed-loop system under the proposed control scheme. We finally apply the proposed FDO-STA framework to the path following control for fixed-wing UAVs under wind disturbances. Various simulation results are provided to show the effectiveness of the proposed controller, compared with the existing control approaches.
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