The DOI matches its Crossref record.
Robust adaptive backstepping fast terminal sliding mode controller for uncertain quadrotor UAV
Abstract
Abstract The problem of controlling the quadrotor orientation and position is considered in the presence of parametric uncertainties and external disturbances. Previous works generally assume that the flight controller parameters are constants. In reality, these parameters depend on the desired trajectory. In this article, a complete mathematical model of a quadrotor UAV is presented based on the Euler-Newton formulation. A robust nonlinear fast control structured for the quadrotor position and attitude trajectory tracking is designed. The position loop generates the actual thrust to control the altitude of the quadrotor and provides the desired pitch and roll angles to the attitude loop, which allow the control of the quadrotor center of gravity in the horizontal plane. The attitude loop generates the rolling, pitching and yawing torques that easily allow the insurance of the quadrotors stability. The outer loop (position loop) uses the robust adaptive backstepping (AB) control to get the desired Euler-angles and the control laws. The inner loop (attitude loop) employs a new controller based on a combination of backstepping technique and fast terminal sliding mode control (AB-ABFTSMC) to command the yaw angle and the tilting angles. In order to estimate the proposed controller parameters of the position and the upper bounds of the uncertainties and disturbances of the attitude, online adaptive rules are proposed. Furthermore, the Lyapunov analysis is used to warranty the stability of the quadrotor UAV system and to ensure the robustness of the controllers against variation. Finally, different simulations were performed in the MATLAB environment to show the efficiency of the suggested controller. The sovereignty of the proposed controller is highlighted by comparing its performance with various approaches such as classical sliding mode control, integral backstepping and second order sliding mode controls.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Labbadi, M., & Cherkaoui, M. (2020) · ISA Transactions · doi:10.1016/j.isatra.2019.10.012 · Cited by 293
Self-citationLiu, B., Wang, Y., Mofid, O., Mobayen, S., & Khooban, M. H. (2024) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2023.3328801 · Cited by 44
LABBADI, M., BOUKAL, Y., TALEB, M., & CHERKAOUI, M. (2020) · 2020 European Control Conference (ECC) · doi:10.23919/ecc51009.2020.9143707 · Cited by 24
Self-citationAdaptive Recursive Sliding Mode Control (ARSMC)-Based UAV Control for Future Smart Cities
Abbas, N., Abbas, Z., & Liu, X. (2023) · Applied Sciences · doi:10.3390/app13116790 · Cited by 9
Finite-Time Adaptive Dynamic Surface Control of a Quadrotor with Input Delay
Maaruf, M., Abubakar, A. N., Gulzar, M. M., & Bali, A. (2026) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-025-10742-5 · Cited by 7
Metadata
- Authors
- Labbadi, M., & Cherkaoui, M.
- Venue
- Aerospace Science and Technology
- Publisher
- Elsevier BV
- Published
- 2019-10
- Volume
- 93
- Pages
- 105306
- ISSN
- 1270-9638 (ISSN-L)
- OpenAlex
- W2964424014
- Cited by
- 337
- References
- 0
- FWCI
- 21.09
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Robust adaptive backstepping fast terminal sliding mode controller for uncertain quadrotor UAV. https://app.cochat.ai/papers/10.1016/j.ast.2019.105306
- The paper
- Labbadi, M., & Cherkaoui, M. (2019). Robust adaptive backstepping fast terminal sliding mode controller for uncertain quadrotor UAV. Aerospace Science and Technology. https://doi.org/10.1016/j.ast.2019.105306
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.