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

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• 作者：S. Aouaouda^a ; ^{aouaouda@labged.net} ; M. Chadli^b ; ^{mohammed.chadli@u-picardie.fr} ; M. Tarek Khadir^a ; T. Bouarar^a
• 关键词：T&ndash ; S fuzzy systems ; Unmeasurable premise variables ; Fault and state estimation ; norm ; Wastewater treatment plant
• 刊名：Journal of Process Control
• 出版年：2012
• 期刊代码：106_09591524
• 类别：et
• 出版时间：June, 2012
• 卷：22
• 期：5
• 页码：861-872
• 文件大小：631 K

摘要

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 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.