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Communication Dans Un Congrès Année : 2015

Robust state and fault estimation observer for discrete-time D-LPV systems with unmeasurable gain scheduling functions. Application to a binary distillation column

Résumé

This paper deals with the problem of robust jointly state and fault estimation (actuator and sensor) observer design for discrete-time Descriptor-Linear Parameter Varying (D-LPV) with unmeasurable gain scheduling. The proposed approach is based on the $H_\infty$ synthesis applied to the state estimation error. Sufficient conditions are given by a set of Linear Matrix Inequalities (LMIs), which guarantee robustness to disturbances/noise and to the error given by the unmeasurable gain scheduling functions. Thus, the main contribution is to develop a conceptually simple integrated procedure to estimate states, sensor or actuator faults. In order to illustrate the methodology, simulations based on a realistic model of binary distillation column are considered.

Dates et versions

hal-01145746 , version 1 (26-04-2015)

Identifiants

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Francisco-Ronay Lopez-Estrada, Jean-Christophe Ponsart, Didier Theilliol, Carlos Manuel Astorga Zaragoza, Marlem Flores Montiel. Robust state and fault estimation observer for discrete-time D-LPV systems with unmeasurable gain scheduling functions. Application to a binary distillation column. 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS'2015, Sep 2015, Paris, France. pp.1012-1017, ⟨10.1016/j.ifacol.2015.09.659⟩. ⟨hal-01145746⟩
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