DocumentCode :
2913634
Title :
Control oriented modeling of a radial turbine for a turbocharged gasoline engine
Author :
Salehi, Rasoul ; Shahbakhti, M. ; Alasty, Aria ; Vossoughi, G.R.
Author_Institution :
Mech. Eng. Dept., Sharif Univ. of Technol., Tehran, Iran
fYear :
2013
fDate :
17-19 June 2013
Firstpage :
5207
Lastpage :
5212
Abstract :
This paper presents a control oriented model for predicting turbine major variables in a turbocharged spark ignition engine. The turbine is simulated as a two-nozzle chamber where the pressure ratio over the two nozzles is not the same. A convex nonlinear estimation algorithm is formulated to determine the relation between these pressure ratios. The new model is experimentally validated with transient and steady state data collected from a 1.7 liter gasoline engine. The results show the new model can predict the turbine mass flow with an average error of 1.4%. In addition, the application of the turbine model is illustrated for the design of a nonlinear observer to estimate the turbocharger non-measured variables. The designed observer is tested against experimental data and the results confirm the observer capability to estimate the turbine rotor speed, flow over the compressor and temperature downstream the compressor.
Keywords :
compressors; convex programming; fuel systems; internal combustion engines; nonlinear control systems; nonlinear estimation; nozzles; observers; rotors; turbines; control oriented modeling; convex nonlinear estimation algorithm; flow estimation; nonlinear observer design; pressure ratio; radial turbine; steady state data; temperature estimation; transient state data; turbine mass flow prediction; turbine rotor speed estimation; turbocharged gasoline engine; turbocharged spark ignition engine; turbocharger nonmeasured variable estimation; two-nozzle chamber; Engines; Observers; Rotors; Temperature measurement; Temperature sensors; Turbines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2013
Conference_Location :
Washington, DC
ISSN :
0743-1619
Print_ISBN :
978-1-4799-0177-7
Type :
conf
DOI :
10.1109/ACC.2013.6580648
Filename :
6580648
Link To Document :
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