Open Access
Subscription Access
Fault Detection and Diagnosis for Three-tank System Using Robust Residual Generator
Fault detection and diagnosis (FDD) is a task to deduce from observed variable of the system if any component is faulty, to locate the faults and also to estimate the fault magnitude present in the system. The main goal when synthesizing robust residual generators, for diagnosis and supervision, is to attenuate influence from model uncertainty on the residuals while keeping fault detection performance. In this paper, a design procedure for robust residual generators is developed with two key elements. One is the use of a reference model that represents desired performance. The other is an optimization criterion, based on robust H∞ filtering, used to synthesize the residual generator.
Keywords
Fault Detection, Robust Residual Generation, Structured Residual Approach, H∞ Filtering
User
Information
- Frank PM and Ding X (1997) Survey of robust residual generation and evaluation methods in observer-based fault detection systems. J. Process Control. 7(6), 403-424.
- Gao ZW and Wang H (2006) Descriptor observer approaches for multivariable systems with measurement noises and application in fault detection and diagnosis. Systems & Control Lett. 55 (4), 305-313.
- Gao ZW, Breikin T and Wang H (2007) High-gain estimator and fault-tolerant design with application to a gas turbine dynamic system, IEEE Trans. on Control Sys. Technol. 15 (40,.740-753.
- Gao ZW, Ding SX and Ma Y (2007) Robust fault estimation approach and its application in vehicle lateral dynamical systems, Optimal Control Appl. & Methods. 28 (3) 143-156.
- Gertler J (1998) Fault Detection of Dynamical Systems, Marcel Dekker, Inc. USA.
- Gertler J (1988) A Survey of Model Based Failure Detection and Isolation in Complex Plants. IEEE Control Systems Magazine. 8 (6) 3-11.
- Gertler J (1993) Residual generation in model based fault diagnosis. Control- Theory & Adv. Technol. 9, 259-285.
- Gertler J and Staroswiecki M (2002) Structured fault diagnosisin mildly nonlinear systems: Parity space and input-output formulation. FAC 15th World Cong., Barcelona, Spain.
- Gertler J, Staroswiecki M and Shen M (2002) Direct design of structured residuals for fault diagnosis in linear systems. American Control Conf. Anchorage, Alaska.
- Wu J, Biswas G, Abdelwahed S and Manders E (2005) A hybrid control system design and implementation for a three tank test bed In Proc. of the 2005 IEEE Conf. on Control Appl. pp: 645–650.
- KÄoppen-Seliger B, Alcorta-Garca E and Frank PM (1999) Fault detection: different strategies for modelling applied to the three tank benchmark - a case study. Eur. Control Conf. Karlsruhe, Germany.
Abstract Views: 360
PDF Views: 107