文章基本信息

标题：Fault Detection and Identification for Nonlinear MIMO Systems Using Derivative Estimation
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作者：A. Lomakin ; J. Deutscher
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：658-663
DOI：10.1016/j.ifacol.2020.12.811
语种：English
出版社：Elsevier
摘要：AbstractIn this paper a method for fault detection and identification of affine input nonlinear systems is presented, which is based on derivative estimation with orthonormal Jacobi polynomials. A systematic approach is presented to derive a residual and a differential algebraic expression of the fault from the system description, which solely depends on measurable input and output signals as well as on their time derivatives. For this, a systematic algorithm is provided, which can be directly implemented in computer algebra packages. Furthermore, arbitrary disturbances are taken into account, by making use of a disturbance decoupling. Fault detection and identification is then achieved by polynomial approximation of the determined fault or residual expression. The results are illustrated for a faulty point-mass satellite model.
关键词：KeywordsFault detectionidentificationnonlinear systemsdisturbance decouplingalgebraic derivative estimation