Flight Control Simulation and Flight Test of Foldable Rotor UAV

Xu, Jiulong; Hao, Yongping; Wang, Shoutai

doi:10.1088/1742-6596/2252/1/012052

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…UAV flight is a highly nonlinear movement which brings serious challenges to its flight control system. Nowadays, the mainstream UAV control algorithms are mostly separated into three types, including linear control algorithm, nonlinear control algorithm and intelligent control algorithm [2].…”

Section: Introductionmentioning

confidence: 99%

Simulation and analysis of stability of UAV control system based on PID control under different wind forces

Hong

2023

J. Phys.: Conf. Ser.

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The four-rotor UAV has attracted the attention of various fields and has been applied in more areas due to its advantages of low cost, high reliability and simple structure. Nowadays, more complex environment and interference factors put forward higher requirements for the accuracy and stability of the flight control system of UAV. At present, the most widely used four-rotor UAV flight control system is PID control system. This paper constructs a UAV control system based on PID algorithm to analyse and study the dynamic stability control effect of UAV under different wind impact scenarios. MATLAB is used to simulate and analyze the system, and the future development is expected according to the simulation results.

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Section: Introductionmentioning

confidence: 99%

Simulation and analysis of stability of UAV control system based on PID control under different wind forces

Hong

2023

J. Phys.: Conf. Ser.

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“…With this software, researchers can analyze and optimize the performance of their robots [3,4]. ADAMS (Automatic Dynamic Analysis of Mechanical Systems) is a multibody dynamics simulation software used to model and analyze mechanical systems [5,6]. It allows researchers to design accurate models such as robots and drones [7,8].…”

Section: Introductionmentioning

confidence: 99%

A PyQt6-Based Platform for Real-Time Control and Monitoring of a Quadrotor Multibody System Using ROS2 and Gazebo

Djizi¹,

Zahzouh²

2023

JESA

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This paper presents a PyQt6 server-based application design for controlling a quadrotor multibody system in a simulated environment using the Gazebo 3D model and ROS2 on Linux. The combination of PyQt6 with ROS2 offers an intuitive graphical interface that simplifies access to control parameters and flight modes. The system incorporates a unique Gazebo plugin that connects to a proportional-derivative (PD) controller, providing stable quadrotor flight control. Notably, this plugin facilitates precise quadrotor movements and establishes reliable communication between the server and quadrotor, distinguishing it from other plugins. Moreover, simulation results demonstrate the effectiveness of the proposed PyQt6 server-based application in real-time quadrotor control. The results exemplify the system's capability to achieve stable and precise quadrotor movement by effectively controlling motion along the three axes (x, y, and z) along with yaw. However, the primary contribution of the system presented in this paper lies in the development of a robust PyQt6 server-based application designed to control a quadrotor multibody system. Furthermore, the system exhibits inherent potential for extension to encompass the control of a physical quadrotor, thereby substantiating its viability in real-world applications.

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