Evidence map›Paper›PMID 37630083›Full record

ReviewMicromachines2023

Review of the Flight Control Method of a Bird-like Flapping-Wing Air Vehicle.

Xiaoqing Fang, Yian Wen, Zhida Gao, Kai Gao, Qi Luo, Hui Peng, Ronghua Du

Abstract readReview
In one paragraph

Review in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Hybrid LQR-HBiomimetics (Basel, Switzerland) · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xiaoqing FangCollege of Automotive and Mechanical Engineering, Changsha University of Science & Technology, Changsha 410114, China.
Yian WenCollege of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410114, China.
Zhida GaoCollege of Automotive and Mechanical Engineering, Changsha University of Science & Technology, Changsha 410114, China.
Kai GaoCollege of Automotive and Mechanical Engineering, Changsha University of Science & Technology, Changsha 410114, China.
Qi LuoCollege of Automotive and Mechanical Engineering, Changsha University of Science & Technology, Changsha 410114, China.
Hui PengSchool of Computer Science and Engineering, Central South University, Changsha 410075, China.
Ronghua DuCollege of Automotive and Mechanical Engineering, Changsha University of Science & Technology, Changsha 410114, China.

Funding

Teaching Reform Project for Ordinary Higher Education Institutions in Hunan Province HNJG-2022-0092
6 · The paper itself

Abstract

The Bird-like Flapping-wing Air Vehicle (BFAV) is a robotic innovation that emulates the flight patterns of birds. In comparison to fixed-wing and rotary-wing air vehicles, the BFAV offers superior attributes such as stealth, enhanced maneuverability, strong adaptability, and low noise, which render the BFAV a promising prospect for numerous applications. Consequently, it represents a crucial direction of research in the field of air vehicles for the foreseeable future. However, the flapping-wing vehicle is a nonlinear and unsteady system, posing significant challenges for BFAV to achieve autonomous flying since it is difficult to analyze and characterize using traditional methods and aerodynamics. Hence, flight control as a major key for flapping-wing air vehicles to achieve autonomous flight garners considerable attention from scholars. This paper presents an exposition of the flight principles of BFAV, followed by a comprehensive analysis of various significant factors that impact bird flight. Subsequently, a review of the existing literature on flight control in BFAV is conducted, and the flight control of BFAV is categorized into three distinct components: position control, trajectory tracking control, and formation control. Additionally, the latest advancements in control algorithms for each component are deliberated and analyzed. Ultimately, a projection on forthcoming directions of research is presented.

Indexed as

flight controlformation controlposition controltrajectory tracking control

Identifiers

PMID37630083
PMCPMC10456679

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.