Fault-tolerant reference generation for model predictive control with active diagnosis of elevator jamming faults

Fault-tolerant reference generation for model predictive control with active diagnosis of elevator jamming faults

Ferranti, L. (TU Delft Networked Cyber-Physical Systems)
Wan, Y. (Massachusetts Institute of Technology)
Keviczky, T. (TU Delft Networked Cyber-Physical Systems)

2018

This paper focuses on the longitudinal control of an Airbus passenger aircraft in the presence of elevator jamming faults. In particular, in this paper, we address permanent and temporary actuator jamming faults using a novel reconfigurable fault-tolerant predictive control design. Due to their different consequences on the available control authority and fault duration, the above 2 actuator jamming faults need to be distinguished so that appropriate control reconfigurations can be adopted accordingly. Their similarity in symptoms, however, prevents an effective discrimination of the root cause of the jamming when using only a passive fault-diagnosis approach. Hence, we propose the use of model predictive control (MPC) as a fault-tolerant controller to actively help the fault-detection (FD) unit discriminate between a permanent and a temporary jamming fault, while ensuring the performance of the aircraft. The MPC controller and the FD unit closely interact during the detection and diagnosis phases. In particular, every time a fault is detected, the FD module commands the MPC controller to perform a predefined sequence of reconfigurations to diagnose the root cause of the fault. An artificial reference signal that accounts for changes in the actuator operative ranges is used to guide the system through this sequence of reconfigurations. Our strategy is demonstrated on an Airbus passenger aircraft simulator.

Active diagnosis
Fault-tolerant control
Flight control
Predictive control
Reconfigurable control
Reference generator

http://resolver.tudelft.nl/uuid:21118098-bda7-44da-9053-6f487eeba912

https://doi.org/10.1002/rnc.4063

1049-8923

International Journal of Robust and Nonlinear Control, 29 (nov 2019) (16), 5412-5428

Institutional Repository

journal article

© 2018 L. Ferranti, Y. Wan, T. Keviczky