@inproceedings{8da5f1d1a53e42ad8abe8acfcfe4dad7,
title = "An adaptive hybrid fault-tolerant control system design for aeroengine sensor and actuator faults",
abstract = "Modern aeroengine works under the harsh environment of higher temperature, higher pressure and higher speed, and the performance deteriorations of its components is inevitable. In this article, an adaptive hybrid fault-tolerant control (AHFTC) system is studied to deal with the concurrent faults of sensors and actuators during deterioration of engine components health parameters by fault-tolerant control. In this AHFTC system, the proposed estimation method using aeroengine thermodynamic nonlinear component-level (NCL) model merges the faults and deterioration estimation process and the fault-tolerant control process, so that it can greatly improve performance of the control system and reduce the processing time. The fault-tolerant controller in the AHFTC system can adjust its structure to adapt to different fault conditions. Simulation results of different scenarios show that the AHFTC system can minimize the influence of faults and maintain the performance of the engine when faults and health degradation coexist.",
keywords = "Actuator fault, fault-tolerant control, Kalman filter, onboard engine model, sensor fault, switching",
author = "Xiaofeng Liu and Liuqi Xiong and Chenshuang Luo",
note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2020 ; Conference date: 17-10-2020 Through 19-10-2020",
year = "2020",
month = oct,
day = "17",
doi = "10.1145/3438872.3439056",
language = "英语",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery ",
pages = "59--68",
booktitle = "Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2020",
address = "美国",
}