A robust H1 observer design for unknown input nonlinear systems: Application to fault diagnosis of a wind turbine
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
The paper is devoted to the problem of designing robust unknown input observer (UIO) for fault estimation purpose. The proposed approach is based on the Takagi-Sugeno models which can be effectively applied for modelling of the wide class of non-linear systems. It also revisits the recent results proposed in the literature and provides a less restrictive design procedure of a robust UIO. In particular, the general UIO strategy and the H1 framework are provided to design a robust fault estimation methodology. The resulting design procedure guarantees that a prescribed disturbance attenuation level is achieved with respect to the state estimation error. The main advantage of the proposed approach boils down to its simplicity because it reduces to solving a set of Linear Matrix Inequalities (LMIs). The final part of the paper presents an illustrative example devoted to the fault estimation of a three blade 1 MW variable-speed, variable-pitch wind turbine.
CitationWitczak, M., Puig, V., Rotondo, D., Faygel, M., Mrugalski, M. A robust H1 observer design for unknown input nonlinear systems: Application to fault diagnosis of a wind turbine. A: Mediterranean Conference on Control & Automation. "23rd Mediterranean Conference on Control & Automation Conference Proceedings". Torremolinos, Málaga: Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 168-173.
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