Control Systems for Unmanned Aerial Vehicles: A Comprehensive Study

DOI

10.2991/978-94-6463-821-9_30How to use a DOI?

Keywords

Control System; PID Algorithm; Adaptive Algorithm; Application of UAV

Abstract

This paper provides a comprehensive exploration of Unmanned Aerial Vehicles (UAV) system architecture, focusing on the synergistic interplay between hardware and software components. The hardware system, comprising subsystems such as the aircraft platform, flight control, inertial navigation, information transmission, and mission execution, forms a robust foundation for stable flight and task performance. Complementing this, the software system incorporates critical modules including flight control, navigation and path planning, communication and data transmission, and mission management, enabling UAVs to operate with enhanced intelligence and autonomy. Furthermore, the study delves into adaptive control algorithms, such as Model Reference Adaptive Control (MRAC), robust adaptive controllers, and model-free adaptive control, which empower UAVs to autonomously adjust to dynamic environments, ensuring stability and overcoming limitations of traditional control methods. Despite the maturity and widespread adoption of UAV technology, key challenges remain, including limited endurance, precision, stability, and payload capacity. This paper highlights the need for targeted research to address these limitations, proposing advancements in adaptive algorithms, energy efficiency, and system integration as critical pathways for future innovation. By addressing these challenges, this study aims to contribute to the evolution of UAV technology, unlocking its full potential for applications in logistics, agriculture, disaster response, and beyond.

Copyright

© 2025 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  - Yuxuan Chen
PY  - 2025
DA  - 2025/08/31
TI  - Control Systems for Unmanned Aerial Vehicles: A Comprehensive Study
BT  - Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
PB  - Atlantis Press
SP  - 270
EP  - 279
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-821-9_30
DO  - 10.2991/978-94-6463-821-9_30
ID  - Chen2025
ER  -