An Approach to Reconstruction of Actuator Faults for a Class of Nonlinear Systems

This paper focuses on the principle for designing reduced-order fuzzy-observer-based actuator fault reconstruction for a class of nonlinear systems. Based on given matching condition, an especial gain matrix structure of the reduced-order fuzzy observer is introduced, and the conditions for asymptotic estimation of actuator faults are derived. The design conditions are outlined in terms of linear matrix inequalities to possess a stable structure that is closest to optimal asymptotic properties. Simulation results illustrate the observer design procedure and demonstrate the actuator fault reconstruction effectiveness and performance.