Control of a turbo charged NVO HCCI engine using a model based approach

Hans Aulin*, Thomas Johansson, Per Tunestål, Bengt Johansson

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations


By using a turbo the operating range of the HCCI engine can be increased, but at the expense of increased controller complexity. The dynamics the turbo introduces in the intake and the exhaust manifolds, have a large impact on the in-cylinder mixture temperature, pressure and finally the combustion phasing. To compensate for this and to maintain desired combustion phasing, precise control of the negative valve overlap is required. A physical model is therefore developed and linearized to yield a state space model, used for Kalman filter and main feedback controller design. The original nonlinear model is inverted to provide feedforward. The main actuators for the controller are the intake and exhaust cam phasing, fuel amount and timing of the injections. The main sensor signals used by the controller are the cylinder pressure, intake exhaust pressure, and intake temperature. The model is validated against experimental data, simulated with the controller and finally the controller was tested on the real engine. The article shows the big picture of how a control system for a spray guided, turbo charged, negative valve overlap HCCI engine can be developed.

Original languageEnglish (US)
Title of host publication2009 IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling, E-COSM'09 - Final Report
PublisherIFAC Secretariat
Number of pages8
ISBN (Print)9783902661586
StatePublished - 2009

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
ISSN (Print)1474-6670

Bibliographical note

Funding Information:
⋆ The Authors would like to thank GM Powertrain and the Swedish Energy Agency for the financial support.


  • Kalman filtering
  • Modeling
  • NVO
  • Simulation
  • Turbo HCCI

ASJC Scopus subject areas

  • Control and Systems Engineering


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