Neuro Emission Controller for Minimizing Cyclic Dispersion in Spark Ignition Engines with EGR Levels
Past literature (Inoue et al., 1993) has indicated that a significant amount of NOx can be reduced by operating a spark ignition (SI) engine at the stoichiometric condition with high exhaust gas recirculation (EGR) levels. However, the problem has been the engine instability due to cyclic dispersion in heat release (Sutton and Drallmeier, 2000). A novel neural network (NN) controller is developed to reduce the cyclic dispersion in heat release in SI engines with high levels of EGR when the engine dynamics are unknown. The NN controller can also be used to minimize engine emissions at extreme lean condition, where similar complex cyclic dynamics are observed.
H. Bui et al., "Neuro Emission Controller for Minimizing Cyclic Dispersion in Spark Ignition Engines with EGR Levels," Intelligent Engineering Systems Through Artificial Neural Networks (ANNIE '04), American Society of Mechanical Engineers (ASME), Jan 2004.
Electrical and Computer Engineering
Mechanical and Aerospace Engineering
National Science Foundation (U.S.)
Article - Conference proceedings
© 2004 American Society of Mechanical Engineers (ASME), All rights reserved.