Title :
Proportional integral sliding mode observer for uncertain Takagi Sugeno systems with unknown inputs
Author :
Ilyes Elleuch;Atef Khedher;Kamel Ben Othmen
Author_Institution :
Research Laboratory in automatic, signal processing and imaging. NationalSchool of Engineers, Monastir, Tunisia
Abstract :
This paper deals with the problem of state and faults estimation for nonlinear uncertain systems described by Takagi Sugeno structures (named multiple models). In this work, only actuator are considered, they are considered as unknown inputs. The state and faults estimation is made using a structure of sliding mode observer where an integral term is added. This structure of observer is named proportional integral sliding mode observer. The integral term permits the fault estimation. The observer convergence conditions are formulated in LMI form allowing to compute the observer gains. The proposed proportional integral sliding mode observer is applied in the case of a numerical example showing the efficiency of the fault and state estimation.
Keywords :
"Observers","Actuators","Convergence","Uncertainty","Estimation error"
Conference_Titel :
Modelling, Identification and Control (ICMIC), 2015 7th International Conference on
DOI :
10.1109/ICMIC.2015.7409413