A Target Tracking Controller with Obstacle Avoidance for Quadrotors with Actuation and Performance Constraints

In this work, we introduce a novel control strategy for target tracking and obstacle avoidance for quadrotors, designed to operate under both actuation and performance constraints. The proposed control framework guarantees precise trajectory tracking while complying to predefined safety constraints, dynamically adjusting performance characteristics to correspond with real-time operational conditions. The stability of the closed-loop system is validated through a Lyapunov-Based analysis. Finally, comprehensive experiments confirm the robustness and demonstrate the effectiveness of the control scheme in a real-life setting.

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Publication Details

Published
2025-06-24
DOI
https://doi.org/10.23919/ecc65951.2025.11186820
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

A Target Tracking Controller with Obstacle Avoidance for Quadrotors with Actuation and Performance Constraints

Charalampos P. Bechlioulis, Panagiotis S. Trakas, Christos Vlachos, Andreas Tantoulas et al.
Robotic Path Planning Algorithms
article

A Target Tracking Controller with Obstacle Avoidance for Quadrotors with Actuation and Performance Constraints

Charalampos P. Bechlioulis, Panagiotis S. Trakas, Christos Vlachos, Andreas Tantoulas, Dimitrios Kotsinis
article en

Abstract

In this work, we introduce a novel control strategy for target tracking and obstacle avoidance for quadrotors, designed to operate under both actuation and performance constraints. The proposed control framework guarantees precise trajectory tracking while complying to predefined safety constraints, dynamically adjusting performance characteristics to correspond with real-time operational conditions. The stability of the closed-loop system is validated through a Lyapunov-Based analysis. Finally, comprehensive experiments confirm the robustness and demonstrate the effectiveness of the control scheme in a real-life setting.

University of Patras (GR)
Openalex Percentile: Top 71%
Robotic Path Planning Algorithms
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