Actuator and sensor faults estimation based on proportional integral observer for TS fuzzy model. Issue 6 (April 2017)

• Record Type: Journal Article
• Authors: Youssef, T.; Chadli, M.; Karimi, H.R.; Wang, R.
• Is Part Of: Journal of the Franklin Institute. Volume 354:Issue 6(2017:Jun.)
• Page Start: 2524
• Page End: 2542
• Publication Date: 2017-04
• Subjects: Science -- Periodicals; Technology -- Periodicals; Patents -- United States -- Periodicals; 505
• DOI: 10.1016/j.jfranklin.2016.09.020
• Languages: English
• ISSNs: 0016-0032

Abstract

Abstract: This paper presents a novel method to address a Proportional Integral observer design for the actuator and sensor faults estimation based on Takagi–Sugeno fuzzy model with unmeasurable premise variables. The faults are assumed as time-varying signals whose k th time derivatives are bounded. Using Lyapunov stability theory and L 2 performance analysis, sufficient design conditions are developed for simultaneous estimation of states and time-varying actuator and sensor faults. The Proportional Integral observer gains are computed by solving the proposed conditions under Linear Matrix Inequalities constraints. A simulation example is provided to illustrate the effectiveness of the proposed approach.