Design of Disturbance Decoupled Observer for Bilinear Systems

1992 ◽  
Vol 114 (4) ◽  
pp. 556-562 ◽  
Author(s):  
A. Hac´

An observer for a bilinear system with an unknown unmeasurable disturbance is considered. Necessary and sufficient conditions for the existence of disturbance decoupled full order and minimal order observers are formulated. The conditions analogous to detectability and pole assignment of linear observers are also given. These conditions provide a basis for verification of observer existence and design procedures to select observer matrices using straightforward matrix calculus. The observers are intended for application to the state estimation of a semi-active vehicle suspension system and the design procedures are illustrated for this particular case. The procedures developed, however, are general and can be applied to any bilinear system.

Author(s):  
R. Sakthivel ◽  
A. Arunkumar ◽  
K. Mathiyalagan ◽  
S. Selvi

Synthesis of control design is an essential part for vehicle suspension systems. This paper addresses the issue of robust reliable H∞ control for active vehicle suspension system with input delays and linear fractional uncertainties. By constructing an appropriate Lyapunov–Krasovskii functional, a set of sufficient conditions in terms of linear matrix inequalities (LMIs) are derived for ensuring the robust asymptotic stability of the active vehicle suspension system with a H∞ disturbance attenuation level γ. In particular, the uncertainty appears in the sprung mass, unsprung mass, damping and stiffness parameters are assumed in linear fractional transformation (LFT) formulations. More precisely, the designed controller is presented in terms of the solution of LMIs which can be easily checked by Matlab-LMI toolbox. Finally, a quarter-car suspension model is considered as an example to illustrate the effectiveness and applicability of the proposed control strategy.


Author(s):  
Maria Aline Gonçalves ◽  
Rodrigo Tumolin Rocha ◽  
Frederic Conrad Janzen ◽  
José Manoel Balthazar ◽  
Angelo Marcelo Tusset

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