@inproceedings{ccb4d316e40e435f95cca21743d125b1,
title = "Actuator Fault Detection and Diagnosis for MIMO Flexible-Structure Resonant Systems Using Kalman Filter Techniques",
abstract = "This paper addresses the problem of Fault Detection and Diagnosis (FDD) of a Multiple-Input Multiple-Output (MIMO) resonant system in the presence of actuator faults. To this end, a Kalman-filter based FDD (KF-FDD) module is proposed to simultaneously estimate and isolate possible faults within each actuator. A discrete-time State Space Representation (SSR) of a plate structure resonant system with three pairs of sensors and actuators, is first constructed. A pre-designed MIMO Positive Position Feedback (PPF) controller is utilized to ensure the closed-loop performance of the given plant under excitations. Using the designed KF-FDD module, residuals of the resonant system are obtained, and their Root Mean Square (RMS) values are then compared to a pre-defined threshold value to determine the location of the actuator fault. The effectiveness of the proposed KF-FDD in correctly detecting and diagnosing single actuator faults is validated via both numerical simulation and real-time experiment.",
keywords = "fault detection and diagnosis, kalman filter, multiple-input multiple-output flexible structure, resonant system",
author = "Peng Zhang and Cui Wei and Fangpo He",
year = "2019",
month = apr,
day = "12",
doi = "10.1109/IEA.2019.8714973",
language = "English",
series = "2019 IEEE 6th International Conference on Industrial Engineering and Applications, ICIEA 2019",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "435--439",
booktitle = "2019 IEEE 6th International Conference on Industrial Engineering and Applications, ICIEA 2019",
address = "United States",
note = "6th IEEE International Conference on Industrial Engineering and Applications, ICIEA 2019 ; Conference date: 12-04-2019 Through 15-04-2019",
}