Robust fault estimation based on interval Takagi-Sugeno unknown input observer
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hdl:2117/130080
Document typeArticle
Defense date2018-01-01
Rights accessRestricted access - publisher's policy
Abstract
This paper proposes a discrete-time robust fault estimation scheme based on an interval Takagi-Sugeno Unknown Input Observer (UIO). The designed observer allows the interval estimation of states and faults by considering that the uncertainty is modelled in a deterministic bounded context. Furthermore, in the observer design, the effect of uncertainty is minimized using the H8 criterion using a LMI formulation. The proposed estimation scheme allows not only to provide the nominal value for states and faults but also an uncertainty interval where they should lie. A permanent magnet DC motor is used as a case study to assess the proposed approach
CitationMartínez , C.; Puig, V.; Astorga, C. Robust fault estimation based on interval Takagi-Sugeno unknown input observer. "IFAC-PapersOnLine", 1 Gener 2018, vol. 51, núm. 24, p. 508-514.
ISSN2405-8963
Publisher versionhttps://www.sciencedirect.com/science/article/pii/S240589631832336X
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