Journal Article

Robust Consensus Tracking Control for Multi-Unmanned-Aerial-Vehicle (UAV) System Subjected to Measurement Noise and External Disturbance

Tong, Shiji, Zhu, Yang, Shao, Jinliang, Zheng, Zhiyuan, Wang, Erquan

2025

Overview

In practice, the consensus performance of a multi-UAV system can degrade significantly due to the presence of measurement noise and disturbances. However, simultaneously rejecting the noise and disturbances to achieve high-precision consensus tracking control is rather challenging. In this paper, to address this issue, we propose a novel distributed consensus tracking control framework consisting of a distributed observer and a local dual-estimator-based tracking controller. Each UAV’s distributed observer estimates the leader’s states and generates the local reference, functioning even under a switching communication topology. In the local tracking controller design, we reveal that classic uncertainty and disturbance estimator (UDE)-based control can magnify the noise. By combining the measurement error estimator (MEE) with UDE, a local robust tracking controller is designed to reject noise and disturbances simultaneously. The parameter tuning of MEE and UDE is unified into a single parameter, and the monotonic relationship between this parameter and system performance is revealed by the singular perturbation theorem. Finally, the validity of the proposed control framework is verified by both simulation and comparative real-world experiments.

• Publisher: MDPI AG
• Subject: Communication / Communications networks / consensus tracking control / Control systems / Control systems design / Controllers / Design / distributed control / Disturbances / Drone aircraft / Error analysis / Estimation theory / measurement noise and disturbance rejection / multi-UAV systems / Noise / Noise control / Noise measurement / Parameter robustness / Robust control / Simulation / Singular perturbation / Topology / Tracking control / Unmanned aerial vehicles