Title :
Simultaneous state and unknown inputs estimation with PI and PMI observers for Takagi Sugeno model with unmeasurable premise variables
Author :
Ichalal, Dalil ; Marx, Benoît ; Ragot, José ; Maquin, Didier
Author_Institution :
Centre de Rech. en Autom. de Nancy (CRAN), Nancy-Univ., Vandoeuvre-les-Nancy, France
Abstract :
In this paper, a proportional integral (PI) and a proportional multiple integral observer (PMI) are proposed in order to estimate the state and the unknown inputs of nonlinear systems described by a Takagi-Sugeno model with unmeasurable premise variables. This work is an extension to nonlinear systems of the PI and PMI observers developed for linear systems. The state estimation error is written as a perturbed system. First, the convergence conditions of the state estimation errors between the system and each observer are given in LMI (linear matrix inequality) formulation. Secondly, a comparison between the two observers is made through an academic example.
Keywords :
PI control; fuzzy control; linear matrix inequalities; linear systems; nonlinear control systems; observers; perturbation techniques; LMI; linear matrix inequality; linear system; nonlinear Takagi Sugeno system; perturbed system; proportional integral observer; proportional multiple integral observer; state estimation error; unknown input estimation; unmeasurable premise variable; Automatic control; Fault detection; Fault diagnosis; Linear systems; Nonlinear control systems; Nonlinear systems; Observers; Pi control; State estimation; Takagi-Sugeno model;
Conference_Titel :
Control and Automation, 2009. MED '09. 17th Mediterranean Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
978-1-4244-4684-1
Electronic_ISBN :
978-1-4244-4685-8
DOI :
10.1109/MED.2009.5164566
