An H∞ sliding mode observer for Takagi–Sugeno nonlinear systems with simultaneous actuator and sensor faults An
Open Access
- 1 September 2015
- journal article
- research article
- Published by University of Zielona Góra, Poland in International Journal of Applied Mathematics and Computer Science
- Vol. 25 (3) , 547-559
Abstract
This paper considers the problem of robust reconstruction of simultaneous actuator and sensor faults for a class of uncertain Takagi-Sugeno nonlinear systems with unmeasurable premise variables. The proposed fault reconstruction and estimation design method with H∞ performance is used to reconstruct both actuator and sensor faults when the latter are transformed into pseudo-actuator faults by introducing a simple filter. The main contribution is to develop a sliding mode observer (SMO) with two discontinuous terms to solve the problem of simultaneous faults. Sufficient stability conditions in terms linear matrix inequalities are achieved to guarantee the stability of the state estimation error. The observer gains are obtained by solving a convex multiobjective optimization problem. Simulation examples are given to illustrate the performance of the proposed observeKeywords
This publication has 14 references indexed in Scilit:
- Robust fault detection and estimation for descriptor systems based on multi-models conceptInternational Journal of Control, Automation, and Systems, 2012
- Robust H ∞ sliding mode observer design for fault estimation in a class of uncertain nonlinear systems with LMI optimization approachInternational Journal of Control, Automation, and Systems, 2012
- Nonlinear actuator fault estimation observer: An inverse system approach via a T-S fuzzy modelInternational Journal of Applied Mathematics and Computer Science, 2012
- Design of robust fault detection observer for Takagi-Sugeno models using the descriptor approachInternational Journal of Control, Automation, and Systems, 2011
- State estimation of Takagi–Sugeno systems with unmeasurable premise variablesIET Control Theory & Applications, 2010
- Fault Detection for Fuzzy Systems With Intermittent MeasurementsIEEE Transactions on Fuzzy Systems, 2009
- State estimation of nonlinear systems using multiple model approach2009
- Nonlinear robust fault reconstruction and estimation using a sliding mode observerAutomatica, 2007
- Sliding mode observers for robust detection and reconstruction of actuator and sensor faultsInternational Journal of Robust and Nonlinear Control, 2003
- Sliding mode observers for fault detection and isolationAutomatica, 2000