Research on Attitude Control System of Quadrotor Unmanned Aerial Vehicle based on Fuzzy PID Control Algorithm

Authors

  • Yi Zou

DOI:

https://doi.org/10.54097/hset.v24i.3889

Keywords:

Fuzzy PID Control; Quadrotor Unmanned Aerial Vehicle; Attitude Control.

Abstract

The control of quadrotor aircraft mainly includes attitude control and position control. Because the change of position is caused by the change of attitude, it is most important to control the attitude of quadrotor aircraft. PID control principle is simple, easy to master, convenient to use, strong adaptability and good robustness, and its control quality is insensitive to the change of the controlled object, so it is most widely used. Quadrotor UAV is a strongly coupled underactuated system, and its stability is easily affected by system uncertainty and external interference during flight. Therefore, an improved fuzzy PID control method is proposed. In this article, the significance and ideas of constructing the attitude control system of quadrotor UAV based on fuzzy PID control algorithm are analyzed. This control strategy not only keeps the advantages of fuzzy control algorithm, which is independent of accurate model, and flexible and fast control, but also combines the advantages of PID control algorithm with small static error, and can achieve good control of nonlinear complex system.

Downloads

Download data is not yet available.

References

Liu N, Cai Z, Zhao J, et al. Predictor-based model reference adaptive roll and yaw control of a quad-tiltrotor UAV[J]. Chinese Journal of Aeronautics, 2020, 33(1):282-295.

Hailong, Huang, Chao, et al. A Method for Deploying the Minimal Number of UAV Base Stations in Cellular Networks[J]. IEEE/CAA Journal of Automatica Sinica, 2020, 7(02):248-256.

Chi H L, Chen Z, Tang J, et al. Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach[J]. IEEE Journal on Selected Areas in Communications, 2018, 36(9):2059-2070.

Tong W A, Jie W B, Bt C. Periodic event-triggered formation control for multi-UAV systems with collision avoidance - ScienceDirect[J]. Chinese Journal of Aeronautics, 2022, 35( 8):193-203.

Wang Xianglei. Research on Active Disturbance Rejection Flight Control of quadrotor UAV [J]. Machine Tool and Hydraulic, 2020, 48(10):5.

Liu Yiwei, Tang Luping, Wang Yongting, et al. Control of quadrotor aircraft based on particle swarm optimization fuzzy PID [J]. Automation and Instrument, 2022, 37(8):6.

Chen Bao, Zhou Zupeng, Wei Huan, et al. Control method of quadrotor UAV with arms based on expert PID [J]. Computer Application, 2022, 42(8):6.

Song Yu, Song Juanwei. Design and simulation of attitude stability controller for quadrotor UAV [J]. Computer Simulation, 2017, 34(8):4.

Wang Xiaoyin, Zhang Xu, Li Jiaxiang, et al. Control system design of quadrotor UAV [J]. Microcomputer Application, 2022, 38(1):20-22.

Xu Yiming, Li Xiao, Yang Kaikai, et al. Design of quadrotor UAV control system based on deep learning [J]. Computer Measurement and Control, 2020, 28(5):6.

Xu Zhiwen, Zheng Enhui, Zhang Hanye. Design of sliding mode controller for quadrotor UAV based on LMI [J]. Computer Simulation, 2020, 37(7):7.

Downloads

Published

27-12-2022

How to Cite

Zou, Y. (2022). Research on Attitude Control System of Quadrotor Unmanned Aerial Vehicle based on Fuzzy PID Control Algorithm. Highlights in Science, Engineering and Technology, 24, 68-72. https://doi.org/10.54097/hset.v24i.3889