Adaptive Integral Sliding-Mode Control for UAV Hovering with Conditional Anti-Saturation
Year: 2026
Type: article
Abstract: This paper develops conditional anti-saturation integral sliding-mode control for quadrotor hovering subject to bounded generalized control authority, external disturbances, and model uncertainties. A state-dependent Boolean mechanism conditionally modifies the bounded restoring action according to whether each hovering error is increasing or recovering. For the nominal hovering model, the resulting CAS-ISMC law establishes the integral sliding manifold from the initial instant under ideal initialization and guarantees asymptotic convergence of the hovering errors within a certified positively invariant recovery region, while an explicit gain budget enforces the prescribed componentwise input bounds. For the uncertain model, a projected adaptive extension estimates a structured uncertainty bound with unknown coefficients and known conservative limits. Projection prevents gain drift and yields a computable control-authority condition. Under a verifiable local initialization condition, the adaptive closed-loop signals remain bounded, the sliding variable converges to zero, and the hovering errors converge asymptotically to the origin. The discontinuous closed-loop dynamics is analyzed in the Filippov sense using Lyapunov arguments and weak-invariance analysis for the limiting differential inclusion. Reproducible simulations evaluate damping-gain sensitivity, projected compensation of structured matched uncertainty, and coupled four-channel near-hover regulation.
Source: Mathematics
DOI: 10.3390/math14203751
Authors: Lixue Xu, Tongyao Li, Xiubo Wang
Institutions: Harbin Institute of Technology, Northeastern University
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,137
Awards: G3881805233, G6248128743, G9001303358
OpenAlex ID: W7221901702
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