Aircraft Fault Tolerant Control
Jan 1, 2019
The main goal of this research is to improve aircraft safety by developing advanced nonlinear control methods that can tolerate actuator faults, structural damage and atmospheric disturbances. One of the featured methods is the incremental sliding mode control, which is a hybrid between the sensor-based incremental control and the robust sliding mode control.
Publications
Active Fault-Tolerant Incremental Sliding-Mode Flight Control Against Control Reversal
An active incremental sliding mode control approach is proposed in this paper to solve control reversal.
Jing Chang, Roeland De Breuker, Xuerui Wang
Adaptive Nonlinear Incremental Flight Control for Systems with Unknown Control Effectiveness
This paper proposes a Nussbaum function-based adaptive incremental control framework for nonlinear dynamic systems with partially known (control direction is unknown) or even completely unknown control effectiveness.
Jing Chang, Roeland De Breuker, Xuerui Wang
Discrete-time Design and Stability Analysis for Nonlinear Incremental Fault-tolerant Flight Control
This paper proposes a discrete-time control-direction-based incremental sliding mode control, denoted as D-INDI-SMC, which has broader applicability than the state-of-the-art incremental control methods.
Jing Chang, Roeland De Breuker, Xuerui Wang
Incremental Sliding-Mode Fault-Tolerant Flight Control
This paper proposes a novel control framework that combines the recently reformulated incremental nonlinear dynamic inversion with (higher-order) sliding-mode controllers/observers, for generic multi-input/multi-output nonlinear systems, named incremental sliding-mode control.
Xuerui Wang, Erik-Jan van Kampen, Qiping Chu, Lu Peng
Incremental Backstepping Sliding-Mode Fault-Tolerant Flight Control
This paper proposes an Incremental Backstepping Sliding Mode Control (IBSMC) frame- work for multi-input/output nonlinear strict-feedback systems considering model uncertainties, sudden faults, and external disturbances.This paper has been selected to the AIAA GNC conference Best Student Paper Finalist.
Xuerui Wang, Erik-Jan van Kampen