Keywords and Phrases
Exhaust gas recirculation
"A neural-network-based output-feedback controller is employed on a spark ignition engine to control fuel input during lean operation for fuel-air equivalence ratios less than 1.0 and in the presence of exhaust gas recirculation (EGR). At lean operating conditions, the engine exhibits significant cycle-to-cycle bifurcation of heat release -- a characteristic of instability. The controller reduces the cyclic dispersion of heat release by minimizing the error between target heat release and measured engine heat release for every engine cycle in real time. Consequences of operating a spark-ignition engine under lean conditions are reduction of harmful NOx emissions and an improvement in fuel economy.
When the controller is operating the engine, experimental results show that lean operation at decreased equivalence ratios returns similar results to lean engine operation from increased levels of EGR. The cyclic dispersion decreases when output-feedback control is applied to the fuel input. Moreover, controller operation at a lean equivalence ratio of 0.77 yields a 98.6% drop in NOx emissions from stoichiometric operation. Similarly, an 80% NOx drop is seen when EGR is increased to 10%. Applying control at an equivalence ratio of 0.77 caused cyclic dispersion to decrease 64.6% and unburned hydrocarbons to decrease 26.8%. For all observed operating set points, the output- feedback controller increases the equivalence ratio by about 5% which includes measurement errors and target operating point specification errors. The error in equivalence ratio is caused by limitations of fuel as a control input"--Abstract, page iii.
Sarangapani, Jagannathan, 1965-
Drallmeier, J. A.
Smith, Scott C.
Electrical and Computer Engineering
M.S. in Computer Engineering
University of Missouri--Rolla
ix, 93 pages
© 2005 Jonathan Blake Vance, All rights reserved.
Thesis - Restricted Access
Neural networks (Computer science)
Spark ignition engines -- Exhaust gas
Print OCLC #
Link to Catalog Record
Electronic access to the full-text of this document is restricted to Missouri S&T users. Otherwise, request this publication directly from Missouri S&T Library or contact your local library.http://merlin.lib.umsystem.edu/record=b5626580~S5
Vance, Jonathan B., "Implementation of an embedded neural network-based output-feedback controller for spark ignition engines" (2005). Masters Theses. 5832.
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