A new method for fault detection in a free model context. Issue 6 (2022)

• Record Type: Journal Article
• Authors: Ziane, M. Ait; Join, C.; Pera, M.C.; Steiner, N. Yousfi; Benne, M.; Damour, C.
• Is Part Of: IFAC-PapersOnLine. Volume 55:Issue 6(2022)
• Page Start: 55
• Page End: 60
• Publication Date: 2022
• Subjects: Fault detection -- Actuator fault -- Model Free Control -- Model Free Fault Detection; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2022.07.105
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: This paper presents a new method of fault detection based on residual signal generation. Most of the existing diagnostic methods that use the residual to detect a failure are often based on the knowledge of the system model. The developed method does not require a precise knowledge or deep information about the system model. It is based on the reconstruction of the system output via an ultra-local model and a model-free controller. The reconstructed/estimated output is used to build the residual signal which is the fault indicator. Several simulation tests have been performed to evaluate the potential of the proposed approach for fault diagnosis. A fault on an actuator of the system is simulated in linear, non-linear and multi-input non-linear case studies. The simulation results reveal that the fault is successfully detected for all these systems under a noisy environment.