AI for Aerospace Control and Optimization
An illustration of AI for problem solving. https://www.advocatie.nl/innovatie-en-tech/britse-advocatuur-waakzaam-voor-artificial-intelligence/.
Artificial Intelligence (AI) has great potential to solve the control and optimization problems of aerospace systems. In this project, we explore the following possibilties:
- Online aerodynamic performance optimization
- Gust and maneuver load alleviation
- Fault-tolerant control
- Suppression of limit-cycle oscillations
- Mechanical imperfection compensation
Xuerui Wang
Assistant Professor in Aerospace Engineering
Publications
Black-Box Online Aerodynamic Performance Optimization for a Seamless Wing with Distributed Morphing
This paper proposes an online black-box performance optimization strategy for a seamless wing with distributed morphing control.
On-Line Black-Box Aerodynamic Performance Optimization for a Morphing Wing With Distributed Sensing and Control
This paper proposes an online black-box aerodynamic performance optimization architecture for active morphing wings. The framework is validated by wind tunnel experiments.
Vision-Based Nonlinear Incremental Control for A Morphing Wing with Mechanical Imperfections
This article proposes a vision-based adaptive control approach to actively compensate for mechanical imperfections.
Black-box Online Aerodynamic Performance Optimization for a Seamless Wing with Distributed Morphing
This paper proposes an online black-box performance optimization strategy for a seamless wing with distributed morphing control, which allows the aircraft wing to automatically adapt to the most optimal shape at any flight condition.
Event-triggered intelligent critic control with input constraints applied to a nonlinear aeroelastic system
This paper uses an event-triggered intelligent control scheme to solve the limit-cycle oscillation problem of an nonlinear aeroelastic system.
