Evidence map›Paper›PMID 42590779›Full record

ArticleSensors (Basel, Switzerland)2026

Design of Fixed-Time Fault-Disturbance Estimator for Emergency Rescue Quadrotor UAV Under Multi-Stage Mission Conditions.

Lihong Rong, Chengguo Han, Fuzhu Ding, Tianshuo Li, Siwen Chen, Zhimin Tong

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Lihong RongCollege of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China.ORCID 0000-0002-0077-0377
Chengguo HanCollege of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China.
Fuzhu DingCollege of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China.
Tianshuo LiCollege of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China.
Siwen ChenCollege of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China.
Zhimin TongCollege of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China.

Funding

National Natural Science Foundation of China 32073029
6 · The paper itself

Abstract

In this paper, the fixed-time fault-disturbance estimation problem for an emergency rescue quadrotor UAV during the takeoff-mission execution-landing process is investigated. Considering the complex operating conditions of rescue missions, actuator efficiency loss, actuator bias faults, rescue-environment airflow disturbances, payload-induced disturbances, near-ground aerodynamic effects, and unmodeled dynamic uncertainties are uniformly represented as a lumped fault disturbance entering the angular-velocity dynamic channel. A multi-stage disturbance model is first established according to the takeoff stage, mission execution stage, and landing stage. Then, a fixed-time fault-disturbance estimator with stage-dependent gains is designed to estimate the lumped disturbance. Based on matrix Lyapunov functions and fixed-time stability theory, it is proven that the angular-velocity estimation error and the lumped fault-disturbance estimation error can enter and remain in a small bounded neighborhood within a fixed time independent of the initial conditions. Moreover, the bounded disturbance jumps at the stage-transition instants are analyzed, and the post-transition recovery property of the estimator is established. The simulation results under a practical emergency rescue scenario show that the proposed estimator can reconstruct the main variation trends of the roll, pitch, and yaw channel lumped disturbances, keep the estimation error bounded, and recover after stage-transition-induced disturbance variations.

Indexed as

emergency rescuefault-disturbance estimationfixed-time estimatorlumped fault disturbancequadrotor UAV

Identifiers

PMID42590779
PMCPMC13469690

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