State-dependent Kalman filters for robust engine control

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

Research output: Contribution to conferencePaper

8 Citations (Scopus)
163 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

Fingerprint

Kalman filters
Engines
Exhaust systems (engine)
Engine cylinders
Air
Measurement errors
Internal combustion engines
Robustness (control systems)
Automotive industry
Controllers
Computer simulation

Keywords

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

Cite this

Dutka, A., Javaherian, H., & Grimble, M. J. (2006). State-dependent Kalman filters for robust engine control. 1187-1190. Paper presented at American Control Conference, Minneapolis, MN , United States. https://doi.org/10.1109/ACC.2006.1656378
Dutka, A. ; Javaherian, H. ; Grimble, M.J. / State-dependent Kalman filters for robust engine control. Paper presented at American Control Conference, Minneapolis, MN , United States.3 p.
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Dutka, A, Javaherian, H & Grimble, MJ 2006, 'State-dependent Kalman filters for robust engine control' Paper presented at American Control Conference, Minneapolis, MN , United States, 14/06/06 - 16/06/06, pp. 1187-1190. https://doi.org/10.1109/ACC.2006.1656378

State-dependent Kalman filters for robust engine control. / Dutka, A.; Javaherian, H.; Grimble, M.J.

2006. 1187-1190 Paper presented at American Control Conference, Minneapolis, MN , United States.

Research output: Contribution to conferencePaper

TY - CONF

T1 - State-dependent Kalman filters for robust engine control

AU - Dutka, A.

AU - Javaherian, H.

AU - Grimble, M.J.

PY - 2006

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N2 - 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

AB - 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

KW - automotive engineering

KW - kalman filters

KW - filtering ignition

KW - robust control

KW - sparks

KW - state estimation

KW - vehicles

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Dutka A, Javaherian H, Grimble MJ. State-dependent Kalman filters for robust engine control. 2006. Paper presented at American Control Conference, Minneapolis, MN , United States. https://doi.org/10.1109/ACC.2006.1656378