The FSC group focuses on the following research themes: to discover innovative control solutions for aviation systems (including unmanned aerial systems), to improve flight performance, and to develop transformative control technologies for aviation applications to achieve autonomy.
coordinated flight control
Multiple aircraft can fly in formation or in coordination to achieve sophisticated tasks through collection and collaboration, enabled by network-oriented flight control techniques that regulate the dynamic behaviour of both individual aircraft and the group of aircraft. This research focus also aims to ensure scalability to expand coordination and cooperation.
resilient flight control
With safety and stability as the highest priorities, control solutions must maintain flight performance in the presence of system uncertainties or environmental disturbances (robust control), or in the presence of failures (fault-tolerant control). We go beyond to make flight more self-organized and resilient by seeking solutions to increase flight system’s adaptability and reconfigurability.
intelligent flight control
A well-designed flight controller is a highly integrated component that interacts smoothly with the rest of the vehicle systems, achieving its full capabilities with proper information collection, processing, decision-making and execution. In today’s technological landscape, more and more flight control methods are fused with AI/machine learning techniques to achieve high performance control.
swarming aerial robotics
Inspired by our formation flight and cooperative control research, we are interested in applications using swarming aerial robots. We believe the coordination of robots in large scale will broaden our horizons in aviation in order to enable novel features, increase mission scope, and improve overall flight performance.
autonomous aerial robotics
Our research on flight control also leads us to the technical development for autonomous flight applications, where we believe the reliable autonomy is the key to the success. Ensuring safe and stable autonomy leads to successful autonomous flight operation, improving satisfaction in and trustworthiness of aerial robotic systems.