Ye Yuan

Rotor-powered vehicles encompass helicopters, drones, and Advanced Air Mobility (AAM) systems. A NASA-commissioned study suggests that there could be as many as 1.25 billion AAM flights in the next ten years. The aerodynamic characteristics of these vehicles are highly intricate, significantly impacting their performance, manoeuvrability, and safety. Existing aerodynamics modelling methods suffer from either limited computational efficiency or accuracy, rendering them unsuitable for integration into AI-based design optimization and autonomous system. In this presentation, we will discuss a series of examples developed by our research group, focusing on novel aerodynamics modelling methods for rotor-powered vehicles employing uncertainty quantification method and AI-based sparse identification algorithms. The primary advantage of this approach lies in ensuring both the accuracy and computational efficiency in flight dynamics simulation, thereby achieving faster-than-real-time capability. Additionally, we will cover the latest progress and future research plans in algorithm development, including integration with onboard autonomous systems. 

Biography:

Dr. Ye Yuan is currently a lecturer in the Department of Aerospace Engineering at Swansea University. He received his Ph.D degree in Aerospace Engineering from Nanjing University of Aeronautics and Astronautics in 2019. Prior to Swansea, he was a postdoctoral researcher at University of Glasgow from 2019 to 2021. Dr Yuan’s research lies in the flight dynamics, control system, and flight safety for rotor-powered vehicle. His research has been supported by EPSRC (Engineering and Physical Sciences Research Council), Department for Transport UK, Connected Places Catapult, and other industrial companies globally. 

Address:Swansea University, , Swansea, United Kingdom, SA1 8EN