A LPV modeling of turbocharged spark-ignition automotive engine oriented to fault detection and isolation purposes |
| |
Authors: | Gianfranco Gagliardi Francesco Tedesco Alessandro Casavola |
| |
Institution: | Università degli Studi della Calabria, Via P. Bucci, Cubo 42C, Rende (CS) 87036, Italy |
| |
Abstract: | This paper illustrates the derivation of a linear parameter varying (LPV) model approximation of a turbocharged Spark-Ignition (SI) automotive engine and its usage in designing a model-based fault detection and isolation (FDI) scheme. The LPV approximation is derived from a detailed nonlinear mathematical model of the engine on the basis of the well known Jacobian approach. The resulting LPV representation is then exploited for synthesizing a bank of LPV-FDI Luenberger observers. Each observer is in charge of detecting a particular class of fault and is designed for having low sensitivity to all other exogenous inputs so as to allow an effective fault isolation. The adopted FDI scheme is gain-scheduled and exploits a set of engine variables, assumed to be measurable on-line, as a scheduling parameters. The goodness of the LPV approximation of the engine model and the effectiveness of the LPV-FDI architecture are demonstrated by several numerical simulations. |
| |
Keywords: | Corresponding author |
本文献已被 ScienceDirect 等数据库收录! |
|