Education, Science, Technology, Innovation and Life
Open Access
Sign In
  1. Home
  2. Journals
  3. Advances in Computer, Signals and Systems
  4. Vol 7, Issue 9, 2023

Study on Flight Attitude Control of Four-rotor UAV

Download as PDF

DOI: 10.23977/acss.2023.070904 | Downloads: 83 | Views: 407

Author(s)

Yiran Chen 1

Affiliation(s)

1 Aircraft Manufacturing Engineering, Shanghai University of Engineering Science, Shanghai, China

Corresponding Author

Yiran Chen

ABSTRACT

Four-rotor UAV is a type of small aircraft. Because of its flexibility, stability, good maneuverability and other characteristics, it can be widely used in various fields. Attitude control of four-rotor UAV is a core technology in the field of UAVs, which is worth studying. In this paper, previous research progress in the field of attitude control of four-rotor UAV is reviewed. The main control methods can be divided into linear control, nonlinear control and intelligent control. In this paper, PID control, sliding mode control, backward step control, intelligent control, neural network control and fuzzy control are introduced in detail, and the characteristics, advantages, disadvantages and research status of these different attitude control technologies are summarized and analyzed. Relevant references show that the focus of researches in resent five years is to combine a variety of control technologies, improve the traditional control technology to obtain better control effects, and use MATLAB/Simulink simulation to draw conclusions. Then, the research on attitude stability control technology of four-rotor UAV in response to adverse weather environment is analyzed, and some future research directions are proposed, including but not limited to establishing a reasonable environmental disturbance model, improving UAV dynamics model in wind field environment, developing fault-tolerant control technology and reducing the delay of system response.

KEYWORDS

Four-rotor UAV, attitude control, anti-disturbance control

CITE THIS PAPER

Yiran Chen, Study on Flight Attitude Control of Four-rotor UAV. Advances in Computer, Signals and Systems (2023) Vol. 7: 26-32. DOI: http://dx.doi.org/10.23977/acss.2023.070904.

REFERENCES

[1] Zhao M. A brief talk on the technical development direction of four-rotor aircraft. Innovation and application of Science and Technology, 2016(16):100.
[2] Jiang W, Li H, Liu S, et al. Flight attitude control of four-rotor UAV based on fuzzy PID. Save Energy, 2023, 42(04):22-25.
[3] Zhao Z, Chen Z, Gu Y et al. Design of coaxial UAV based on Volume Kalman filter-Adaptive PID. Technology Innovation and Application, 2023, 13(07):38-41.
[4] Razmi H, Afshinfar S. Neural network-based adaptive sliding mode control design for position and attitude control of a quadrotor UAV [J]. Aerospace Science and Technology, 2019, 91. 
[5] Xiong J, Zhang G. Global fast dynamic terminal sliding mode control for a quadrotor UAV.ISA transactions, 2017, 66: 233-240.
[6] Wang J. Fault-tolerant control of four-rotor UAV based on sliding mode theory. Xi'an University of Technology, 2023. DOI: 10.27398/d.cnki.gxalu.2023.000914. 
[7] Yu G. Sliding Mode Control Methods of Quadrotor UAV. Wuhan University of Science and Technology, 2021.
[8] Yu B, Gao J, Wang H et al. Research on RBF Neural Network Attitude Control of four-rotor UAV. Mechanical Science and Technology: 1-8[2023-09-19]. https: //doi.org/10.13433/j.cnki.1003-8728.20230175.
[9] Liu K. Research on Intelligent Control Algorithm of Quadrotor UAV Under Uncertain Environments. University of Science and Technology of China, 2022.
[10] Zhang Q, Zhou C. Research on UAV flight Control based on Intelligent Fuzzy PID Control. Mechanical & Electrical Engineering Technology, 2023, 52(07):64-66+163.
[11] Chen F, Jiang R, Zhang K, et al. 2016. Robust Backstepping Sliding-Mode Control and Observer-Based Fault Estimation for a Quadrotor UAV. Ieee Transactions on Industrial Electronics, 63: 5044-5056.
[12] Huang M. Wind Environment Simulation modeling and Wind disturbance resistance of rotorcraft. Taiyuan University of Technology, 2022.
[13] Lv J, Research on Wind Resistance Control Technology of Quadrotor UAV. Harbin Institute of Technology, 2019.

Subscription
E-Mail Alert
Most popular papers
Call for Special Issue
Publication Ethics & OA Statement
Plagiarism Policy
Contact Us
Downloads: 13503
Visits: 258876

Sponsors, Associates, and Links

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.