Fuels, Engines, and Emissions Research Center
FEERC
A Department of Energy User Facility: Specializing in the development and
detailed characterization of advanced fuels, engines, and emissions-control
technologies utilizing unique diagnostic and measurement tools.


 

 
 

 

Modeling, simulation, nonlinear dynamics

Model based control of lean cyclic dispersion in lean spark ignition combustion

Authors
J.B. Green Jr., R.M. Wagner, C.S. Daw

Publication
Proceedings: Technical Meeting of the Central States Section of the Combustion Institute, Knoxville, TN, April 2002

Abstract
We are investigating predictive feedback control of spark-ignition engines based on symbolization and map reconstruction of patterns in cycle-by-cycle engine measurements. Symbolization converts combustion quality measurements into a small set of discrete values that can be efficiently analyzed in real time for predictable patterns. An important advantage of symbolization is that it works well for measurements of low precision, such as engine speed variations. Map reconstruction is another technique that can be used when the observed patterns are relatively low dimensional. A low-order map is produced that provides explicit predictions of future combustion events. These types of algorithms can be useful for controlling both steady state and transient cyclic dispersion of lean combustion.