AI for Aerospace Control and Optimization
Sep 1, 2021

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

Publications
Unified Aeroelastic Flutter and Loads Control via Data-Enabled Policy Optimization
This paper is a milestone of data-driven control on unified aeroelastic GLA and AFS control.
Xuerui Wang, Feiran Zhao, Andres Jurisson, Florian Dorfler, Roy S. Smith
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.
Oscar Ruland, Tigran Mkhoyan, Roeland De Breuker, Xuerui Wang
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.
Tigran Mkhoyan, Oscar Ruland, Roeland De Breuker, Xuerui Wang
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.
Bo Sun, Tigran Mkhoyan, Erik-Jan van Kampen, Roeland De Breuker, Xuerui Wang
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.
Oscar Ruland, Tigran Mkhoyan, Roeland De Breuker, Xuerui Wang
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.
Bo Sun, Xuerui Wang, Erik-Jan van Kampen