Control of Autonomous Aerial Vehicles Using Hybrid Systems
Year: 2022
Type: article
Abstract: The development of autonomous aerial vehicles (AAVs) has garnered significant interest for applications in fields such as transportation, surveillance, and environmental monitoring. However, the complexity of controlling AAVs, especially in dynamic and unstructured environments, presents considerable challenges. Hybrid systems, which combine continuous and discrete dynamics, have emerged as a promising approach to address these challenges. This paper explores the application of hybrid control systems in the context of AAVs, emphasizing their ability to handle the inherent complexities of aerial navigation. The discussion covers various hybrid control strategies, including switching systems, model predictive control (MPC), and event-triggered control. We also examine the practical implementation of hybrid systems in real-world AAV applications, highlighting their benefits in ensuring stability, robustness, and adaptability in dynamic environments. The paper concludes by exploring future trends in hybrid control systems for AAVs and their potential impact on autonomous flight technology.
DOI: 10.71465/ajice2806
Author: Dr. Robert Anderson
Institution: Stanford University
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7143445032