Actuator and sensor faults estimation based on proportional integral observer for TS fuzzy model

作者：Youssef, T.; Chadli, M.^*; Karimi, H. R.; Wang, R.

来源：Journal of the Franklin Institute, 2017, 354(6): 2524-2542.

DOI：10.1016/j.jfranklin.2016.09.020

• STOCHASTIC-SYSTEMS
• TOLERANT CONTROL
• PREMISE VARIABLES
• DESIGN
• RECONSTRUCTION

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 kth 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.

• 出版日期2017-4
• 单位东南大学