Real-time Fault Estimation for a Class of Discrete-Time Linear Parameter-Varying Systems

نویسندگان

چکیده

Estimating and detecting faults is crucial in ensuring safe efficient automated systems. In the presence of disturbances, noise, or varying system dynamics, such estimation even more challenging. To address this challenge, article proposes a novel filter to estimate multiple fault signals for class discrete-time linear parameter-varying (LPV) The design formulated as an optimization problem solved recursively, while dynamics may vary over time. Conditions existence detectability are introduced using quadratic programming framework. We further propose approximate scheme that can be arbitrarily precise it enjoys analytical solution, which supports real-time implementation. method illustrated validated on vehicle’s lateral practically relevant example LPV results show decouple unknown disturbances known measurable parameter variations estimating fault.

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ژورنال

عنوان ژورنال: IEEE Control Systems Letters

سال: 2021

ISSN: ['2475-1456']

DOI: https://doi.org/10.1109/lcsys.2021.3137711