文章基本信息

标题：Multi-objective Grid-based Lipschitz NLPV PI Observer for Damper Fault Estimation
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作者：Gia Quoc Bao Tran ; Thanh-Phong Pham ; Olivier Sename 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：6
页码：163-168
DOI：10.1016/j.ifacol.2022.07.123
语种：English
出版社：Elsevier
摘要：AbstractDampers in semi-active suspension systems may be subject to various types of damper faults, e.g., oil leakage and electrical issues, that need to be estimated for diagnosis and isolation purposes. A new method to design the so-called multi-objective grid-based Lipschitz Nonlinear Parameter Varying (NLPV) Proportional Integral (PI) observer is here developed for damper fault estimation, where the fault is the loss of efficiency of the damper modeled as a slow-varying input. While the damper nonlinearity is bounded by the Lipschitz condition, theH∞and generalizedH2conditions are used to minimize the effects of the input disturbance and the measurement noise, respectively, on the estimation error. Moreover, the observer is designed with Linear Matrix Inequalities (LMIs) formed and solved in a grid-based manner (considering a parameter-dependent Lyapunov function) to reduce the level of conservatism. Analyses in the frequency domain using Bode plots as well as in the time domain using realistic simulations illustrate the effectiveness of the proposed observer.
关键词：KeywordsPI observerNonlinear Parameter Varying (NLPV)griddingfault estimationsemi-active suspension