Predefined-Time Trajectory Tracking Control of UAV with Multi-Source Disturbance

In this paper, a predefined-time non-singular terminal sliding mode controller is proposed to control the trajectory of quadrotor unmanned aerial vehicles. In the position loop, the nonlinear disturbance observer compensates for the disturbance, and the sliding surface is designed for position tracking control. In the attitude loop, a non-singular terminal sliding mode controller with a predefined time is designed. The law of approximation is used to stabilize the attitude tracking error within predefined time. Through theoretical analysis and experiments, the performance of the controller is verified.

Authors

Institutions

Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/icus61736.2024.10840166
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predefined-Time Trajectory Tracking Control of UAV with Multi-Source Disturbance

M. Chen, Feiyu Hou, Na Duan
Adaptive Control of Nonlinear Systems
article

Predefined-Time Trajectory Tracking Control of UAV with Multi-Source Disturbance

M. Chen, Feiyu Hou, Na Duan
article en

Abstract

In this paper, a predefined-time non-singular terminal sliding mode controller is proposed to control the trajectory of quadrotor unmanned aerial vehicles. In the position loop, the nonlinear disturbance observer compensates for the disturbance, and the sliding surface is designed for position tracking control. In the attitude loop, a non-singular terminal sliding mode controller with a predefined time is designed. The law of approximation is used to stabilize the attitude tracking error within predefined time. Through theoretical analysis and experiments, the performance of the controller is verified.

Jiangsu Normal University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 68%
Adaptive Control of Nonlinear Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.