Real-time fault-tolerant moving horizon air data estimation for the RECONFIGURE benchmark

Real-time fault-tolerant moving horizon air data estimation for the RECONFIGURE benchmark

Wan, Y. (Huazhong University of Science and Technology; Massachusetts Institute of Technology)
Keviczky, T. (TU Delft Team Tamas Keviczky)

2018

This paper proposes a real-time fault-tolerant estimation approach for combined sensor fault diagnosis and air data reconstruction. Due to simultaneous influence of winds and latent faults on monitored sensors, it is challenging to address the tradeoff between robustness to wind disturbances and sensitivity to sensor faults. As opposed to conventional fault-tolerant estimators that do not consider any constraints, we propose a constrained fault-tolerant estimator using moving horizon estimation (MHE). By exploiting wind bounds according to the weather or flight conditions, this approach improves fault sensitivity without sacrificing disturbance robustness. This improvement is attributed to active inequality constraints caused by faults, as shown in sensitivity analysis of the formulated MHE problem. The challenge of real-time nonlinear MHE is addressed by adopting an efficient structure-exploiting algorithm within a real-time iteration scheme. In order to facilitate the industrial validation and verification, the algorithm is implemented using an Airbus graphical symbol library to be compliant with the actual flight control computer, and its feasibility of real-time computation has been validated. The simulation results on the RECONFIGURE benchmark, which is a high-fidelity Airbus simulator, over a wide range of the flight envelop show the efficacy of the proposed approach.

Aerospace
Aircraft
Atmospheric modeling
Computational modeling
Estimation
fault detection and isolation (FDI)
Fault tolerance
Fault tolerant systems
moving horizon estimation (MHE)
real-time computation.
Real-time systems

http://resolver.tudelft.nl/uuid:32fa4cb3-b2ab-4021-921d-9e6ec6a09105

https://doi.org/10.1109/TCST.2018.2804332

2018-08-23

1063-6536

IEEE Transactions on Control Systems Technology, 27 (2019) (3), 997-1011

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

journal article

© 2018 Y. Wan, T. Keviczky