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 L2 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.
|Titolo:||Actuator and sensor faults estimation based on proportional integral observer for TS fuzzy model|
|Autori interni:||KARIMI, HAMID REZA|
|Data di pubblicazione:||2017|
|Rivista:||JOURNAL OF THE FRANKLIN INSTITUTE|
|Appare nelle tipologie:||01.1 Articolo in Rivista|