PID control and simulation of moving mass quadcopter UAV

Author:

Xu Tianfang

Abstract

Abstract Based on the quadrotor drones we see today, in this paper, a mass center control mechanism installed on the body is proposed to control the flying attitude of the UAV. The moving mass control technology changes the position of the center of mass by moving the position of the mass block of the system. The technology is used in a wide range of aircraft, from drones to gravity satellites. The moving mass center mechanism mentioned in this paper is composed of three sliding blocks that can slide along the spatial axes and are controlled by a linear motor. The linear motor controls the slider movement to generate the torque along different channel directions, to realize the attitude change of the UAV. In this paper, through the kinematics analysis of the quadrotor UAV, combined with PID control and simulation, finally realized the modification of the UAV’s flight attitude with moving mass technology. The simulation results show that the quadrotor UAV can complete the attitude conversion stably with the help of the mass center control mechanism.

Publisher

IOP Publishing

Subject

Computer Science Applications,History,Education

Reference5 articles.

1. Review of quadcopter UAV flight control algorithms;Cheng;Electro-Optics and Control,2018

2. Control problem of down-controlled single-slide moving mass aircraft;Jianqing;Science in China: Technical Science,2016

3. Design, analysis, and flight test of moving mass vehicle based on in wing double slider;Baihui;Flight Mechanics,2022

4. Control technology of transverse heading moving mass center of solar UAV in near space;Kefan;Air and Space Defense,2021

5. Dynamic analysis and immunity control of fixed-wing UAV with moving mass center;Xiaoqi;Journal of Beijing University of Aeronautics and Astronautics,2022

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Design and Development of Multipurpose Quadcopter Using Fused Deposition Modeling;Advances in Science, Technology & Innovation;2024

2. Adaptive Attitude Fault-Tolerant Control of Quadcopter Based on Fuzzy State Observer;2023 International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC);2023-10-20

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