Robust fault tolerant  tracking controller design for unknown inputs T-S models with unmeasurable   premise variables

Sabrina AOUAOUDA; M. Chadli; M. T. Khadir; T. Bouarar

Center of Academic Publications

Robust fault tolerant tracking controller design for unknown inputs T-S models with unmeasurable premise variables

https://www.univ-soukahras.dz/en/publication/article/102

Sabrina AOUAOUDA, M. Chadli, M. T. Khadir and T. Bouarar (2012) Robust fault tolerant tracking controller design for unknown inputs T-S models with unmeasurable premise variables. Journal of Process Control , 22(5), 872-872, Elsevier

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This work concerns the tracking problem of uncertain Takagi–Sugeno fuzzy continuous systems with unmeasurable premise variables and affected by unknown inputs. The aim is to synthesize a fault tolerant controller (FTC) ensuring trajectory tracking of a desired reference model. To emit the original plant system, a norm bounded parametric uncertainty is employed in building the T–S model. The control scheme is based on a fuzzy observer to estimate both faults and faulty system states; a proportional integer (PI) observer to estimate constant faults is then adopted. Using descriptor redundancy property and View the MathML sourceL2 optimization to attenuate the unknown inputs effect, a solution is proposed in terms of bilinear matrix inequalities (BMIs). The performances of the proposed approach are pointed out by accentuating on a model of wastewater treatment plant (WWTP) through numerical results.

Item Type:	Journal
Divisions:	» Laboratory of Electrical Engineering and Renewable Energy » Faculty of Science and Technology
ePrint ID:	102
Date Deposited:	2014-10-30
Further Information:	Google Scholar
URI:	https://www.univ-soukahras.dz/en/publication/article/102