Neuro Emission Controller for Minimizing Cyclic Dispersion in Spark Ignition Engines with EGR Levels

Author

H. Bui
Brian C. Kaul
Jagannathan Sarangapani, Missouri University of Science and TechnologyFollow
J. A. Drallmeier, Missouri University of Science and TechnologyFollow
Pingan He

Abstract

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.

Recommended Citation

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.

Department(s)

Electrical and Computer Engineering

Second Department

Mechanical and Aerospace Engineering

Sponsor(s)

National Science Foundation (U.S.)

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2004 American Society of Mechanical Engineers (ASME), All rights reserved.

Publication Date

01 Jan 2004