DocumentCode :
2931653
Title :
LPG Engine Inlet Manifold Pressure Measurement Based on State Prediction
Author :
Qu, Dawei ; Fan, Luyan ; Tian, Ye ; Wang, Lianxu ; Zhang, Yan
Author_Institution :
State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Jilin, China
fYear :
2011
fDate :
25-28 March 2011
Firstpage :
1
Lastpage :
4
Abstract :
Based on the physical dynamic properties model of the intake system (from the state equation and measurement equation) and the intake system model and the statistical properties assumption of sensor noise, the measured data was mapped to the state space. Then using the state predictor, through the EKF (Extended Kalman Filter) , preprocessing the data from the intake manifold absolute pressure sensor, through the model transformation, unit transformation the sensor´s output signal is converted to the state variable describing the amount of intake air, then according to the established state equation of the intake system and the mathematical model of the measuring physical properties, under some criterias for optimal estimation, the optimal estimation was carried out so that the state vector and measurement vector achieve the best fit, to obtain optimal estimates of intake air amount.
Keywords :
Kalman filters; internal combustion engines; petroleum; pressure measurement; pressure sensors; LPG engine inlet manifold pressure measurement; extended Kalman filter; measurement equation; physical dynamic properties model; pressure sensor; sensor noise; state equation; state prediction; Covariance matrix; Engines; Equations; Fluid flow measurement; Kalman filters; Mathematical model; Pressure measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location :
Wuhan
ISSN :
2157-4839
Print_ISBN :
978-1-4244-6253-7
Type :
conf
DOI :
10.1109/APPEEC.2011.5748635
Filename :
5748635
Link To Document :
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