Fault estimation using a polynomial observer: A real-time application
This chapter has been developed in the context of the faults diagnosis problem for nonlinear systems. The problem is viewed as the estimation of fault signals using extended state observers theory. A differential algebra approach is proposed to determine the observability and diagnosability of the system. A polynomial observer is used, to estimate the faults, for a multiple available outputs system. Other two schemes of nonlinear observers are used in the faults reconstruction process, only for comparison purposes. The first one is a reduced order observer while the second one is a sliding mode observer. The results of a real-time application are shown to illustrate these methodologies. The approaches were tested in the experimental setting Amira DTS200.
KeywordsFault Diagnosis Unknown State Fault Signal Fault Estimation Nonlinear Observer
Unable to display preview. Download preview PDF.
- 1.Amira DTS200. Laboratory setup three tank system, Amira Gmbh, Duisburgh, Germany, 1996.Google Scholar
- 4.Fliess M., Join C. and Sira-Ramírez H. (2004). Robust residual generation for nonlinear fault diagnosis: an algebraic setting with examples. International Journal of Control, Vol. 14, No. 77.Google Scholar
- 7.Katipamula S. and Brambley M.R. (2005). Methods for Fault Detection, Diagnostics, and Prognostics for Building Systems—A Review, Part I. International Journal of HVAC&R Research, Vol 11., No. 1.Google Scholar
- 10.Rincón-Pasaye J., Martínez-Guerra R., Soria-López A. (2008). Fault diagnosis in nonlinear systems: an application to a three-tank system. In proceedings of the American Control Conference (ACC08), Seattle Washington, USA, pp. 2136-2141.Google Scholar
- 11.Venkatasubramanian V., Rengaswamy R., Yin K. and Kavuri S.N. (2003). A review of process fault detection and diagnosis, Part I: Quantitative model-based methods. Computers in Chemical Engineering, Vol. 27, pp. 293–311.Google Scholar