Open AccessReal-Time Fault-Tolerant Moving Horizon Air Data Estimation for the RECONFIGURE Benchmark
Author(s) -
Yiming Wan,
Tamás Keviczky
Publication year - 2018
Publication title -
ieee transactions on control systems technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.678
H-Index - 162
eISSN - 1558-0865
pISSN - 1063-6536
DOI - 10.1109/tcst.2018.2804332
Subject(s) - robustness (evolution) , estimator , fault tolerance , benchmark (surveying) , sensitivity (control systems) , computation , control theory (sociology) , computer science , fault detection and isolation , engineering , real time computing , algorithm , actuator , artificial intelligence , mathematics , electronic engineering , distributed computing , geodesy , chemistry , statistics , gene , geography , control (management) , biochemistry
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...
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