Optimizing PID and Sliding Mode Control for Quadcopter UAV Stabilization

DOI

10.2991/978-94-6463-540-9_48How to use a DOI?

Keywords

Unmanned Aerial Vehicle; PID Control; Sliding Mode Control; Artificial Intelligence; Quadcopter

Abstract

Quadcopter Unmanned Aerial Vehicles (UAVs) have seen widespread use in many industries recent years because of their versatility and efficiency in various applications. Integral components of the flight control system, such as PID (Proportional-Integral-Derivative) control and SMC (Sliding Mode Control) control, are extensively employed to make sure the robustness, stability and performance of these UAVs. This article provides a comprehensive overview of the current status and underlying principles of PID and SMC control methods as applied to quadcopter UAVs. It summarizes the latest research findings on the stability provided by these two control strategies and explores potential future developments. Emphasis is placed on enhancing the stability of quadcopter UAVs by integrating artificial intelligence with traditional control methods. The article also discusses the inherent challenges and limitations associated with PID and SMC control, offering insights into their optimization. Advantages and potential issues in the optimization process are highlighted, along with prospective directions for future research. By addressing both the current state and future possibilities, this article aims to contribute to the advancement of control methods for quadcopter UAVs, ensuring their reliable and efficient operation in increasingly complex environments.

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.

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TY  - CONF
AU  - Yifei Wang
PY  - 2024
DA  - 2024/10/16
TI  - Optimizing PID and Sliding Mode Control for Quadcopter UAV Stabilization
BT  - Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024)
PB  - Atlantis Press
SP  - 481
EP  - 493
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-540-9_48
DO  - 10.2991/978-94-6463-540-9_48
ID  - Wang2024
ER  -