Stability Preserving Safe Control of a Bicopter

This paper presents a control law for stabilization and trajectory tracking of a multicopter subject to safety constraints. The proposed approach guarantees forward invariance of a prescribed safety set while ensuring smooth tracking performance. Unlike conventional control barrier function methods, the constrained control problem is transformed into an unconstrained one using state-dependent mappings together with carefully constructed Lyapunov functions. This approach enables explicit synthesis of the control law, instead of requiring a solution of constrained optimization at each step. The transformation also enables the controller to enforce safety without sacrificing stability or performance. Simulation results for a polytopic reference trajectory confined within a designated safe region demonstrate the effectiveness of the proposed method.

Publication Details

Journal
Maryland Shared Open Access Repository (USMAI Consortium)
Published
2025-10-08
DOI
https://doi.org/10.13016/m21jmf-00dj
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Stability Preserving Safe Control of a Bicopter

Maryland Shared Open Access Repository (USMAI Consortium)
Adaptive Control of Nonlinear Systems
article

Stability Preserving Safe Control of a Bicopter

article en

Abstract

This paper presents a control law for stabilization and trajectory tracking of a multicopter subject to safety constraints. The proposed approach guarantees forward invariance of a prescribed safety set while ensuring smooth tracking performance. Unlike conventional control barrier function methods, the constrained control problem is transformed into an unconstrained one using state-dependent mappings together with carefully constructed Lyapunov functions. This approach enables explicit synthesis of the control law, instead of requiring a solution of constrained optimization at each step. The transformation also enables the controller to enforce safety without sacrificing stability or performance. Simulation results for a polytopic reference trajectory confined within a designated safe region demonstrate the effectiveness of the proposed method.

Maryland Shared Open Access Repository (USMAI Consortium)
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Openalex Percentile: Top 41%
Adaptive Control of Nonlinear Systems
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