State-dependent Kalman filters for robust engine control

A. Dutka, H. Javaherian, M.J. Grimble

Research output: Contribution to conferencePaper

8 Citations (Scopus)
236 Downloads (Pure)

Abstract

Vehicle emissions variations impose significant challenges to the automotive industry. In these simulation studies, nonlinear estimation techniques based on state-dependent and extended Kalman filtering are developed for spark ignition engines to enhance robustness of the feedforward fuel controllers to changes in nominal system parameters and measurement errors. A model-based approach is used to derive the optimal filters. Numerical simulations indicate the superiority of estimation-based approaches to enhance robustness of in-cylinder air estimation which directly contributes to the precision of engine exhaust air-fuel ratio and, consequently the consistency of the tailpipe emissions. The results obtained are for an aggressive driving profile and are presented and discussed

Original languageEnglish
Pages1187-1190
Number of pages3
DOIs
Publication statusPublished - 2006
EventAmerican Control Conference - Minneapolis, MN , United States
Duration: 14 Jun 200616 Jun 2006

Conference

ConferenceAmerican Control Conference
CountryUnited States
CityMinneapolis, MN
Period14/06/0616/06/06

Keywords

  • automotive engineering
  • kalman filters
  • filtering ignition
  • robust control
  • sparks
  • state estimation
  • vehicles

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