PTZ Loading Mechanism based on Nonlinear Adaptive Algorithm

DOI

10.2991/978-94-6463-540-9_42How to use a DOI?

Keywords

Quadrotor UAV; PTZ; Loading Mechanism; PID

Abstract

This paper proposes a new Pan-Tilt-Zoom PTZ UAV loading system, which uses the PTZ to connect with the loading mechanism to protect the cargo in the UAV transportation process. PTZ can eliminate the shaking of the cargo box caused by the movement of the drone, and the cargo box below can provide a relatively independent environment for the transportation of goods, reducing the impact of external weather changes on the transportation of goods. By doing so, it improves the stability of the cargo transportation, thereby increasing the diversity of the cargo transported by the UAV, while reducing the excessive packaging to protect the cargo itself, thereby reducing the cost. This paper mainly uses the three-axis PTZ and loading mechanism based on PID Control Algorithms to design a nonlinear PTZ controller, which can be combined with UAV attitude control system to improve the accuracy of PTZ stability control. In this paper, Solid Works is used for modeling, Ansys for static stress and dynamics analysis, and simulink to verify the feasibility of PID control algorithm. It is proved that the system can effectively ensure the stability of goods in transportation, and provides a new idea for the stable loading of UAVs.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Lang Yun
PY  - 2024
DA  - 2024/10/16
TI  - PTZ Loading Mechanism based on Nonlinear Adaptive Algorithm
BT  - Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024)
PB  - Atlantis Press
SP  - 423
EP  - 436
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-540-9_42
DO  - 10.2991/978-94-6463-540-9_42
ID  - Yun2024
ER  -