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In this paper, the problem of Fault Detection and Isolation (FDI) in DC-DC Buck converter is addressed. In a bounded error context and taking into account the parameters uncertainties of a basic Buck converter model, a set-membership FDI methodology is proposed. A Linear Parameter Varying (LPV) form of the basic DC-DC Buck converter is firstly given. Under noisy environment and based on the proposed...
This paper addresses the problem of multiple Fault Detection and Isolation (FDI) in DC-DC Buck converters which are widely used in renewable energy systems. Under non-ideal conditions and the assumption that the model parameters uncertainties are bounded, set-membership FDI methodology is proposed. The approach relies on an interval predictor developed in [1] for Linear Parameter Varying (LPV) systems...
An interval observer for Linear Time-Varying (LTV) systems is proposed in this paper. Usually, the design of such observers is based on monotone systems theory. Monotone properties are hard to satisfy in many situations. To overcome this issue, in a recent work, it has been shown that under some restrictive conditions, the cooperativity of an LTV system can be ensured by a static linear transformation...
In this paper, a method for computing reachable sets of uncertain nonlinear continuous-time systems is proposed. The approach, based on Linear Parameter-Varying (LPV) inclusions of nonlinear systems, relies on a time-varying change of coordinates which ensures some monotony properties in the new base. A sufficient condition ensuring the non divergence of the enclosures is given. The efficiency of...
In this paper an interval observer for Linear-Parameter-Varying (LPV) Systems is proposed. Usually, the design of such observers is based on monotone systems theory and the observation error should have a cooperative dynamics. In many cases, such a property is hard to satisfy. In this paper, a time-varying change of coordinates is used to overcome this limitation. Two sufficient conditions, according...
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