Title of article :
Modeling and online parameter estimation of intake manifold in gasoline engines using sliding mode observer
Author/Authors :
Butt، نويسنده , , Qarab Raza and Bhatti، نويسنده , , Aamer Iqbal and Mufti، نويسنده , , Mohammed Rafiq and Rizvi، نويسنده , , Mudassar Abbas and Awan، نويسنده , , Irfan، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2013
Abstract :
Model based control of automotive engines for fuel economy and pollution minimization depends on accuracy of models used. A number of mathematical models of automotive engine processes are available for this purpose but critical model parameters are difficult to obtain and generalize. This paper presents a novel method of online estimation of discharge coefficient of throttle body at the intake manifold of gasoline engines. The discharge coefficient is taken to be a varying parameter. Air mass flow across the throttle body is a critical variable in maintaining a closer to stoichiometric air fuel ratio; which is necessary to minimize the pollution contents in exhaust gases. The estimation method is based on sliding mode technique. A classical first Sliding mode observer is designed to estimate intake manifold pressure and the model uncertainty arising from the uncertain and time varying discharge coefficient is compensated by the discontinuity/switching signal of sliding mode observer. This discontinuity is used to compute coefficient of discharge as a time varying signal. The discharge coefficient is used to tune/correct the intake manifold model to engine measurements. The resulting model shows a very good agreement with engine measurements in steady as well s transient state. The stability of the observer is shown by Lyapunov direct method and the validity of the online estimation is successfully demonstrated by experimental results. OBD-II (On Board Diagnostic revision II) based sensor data acquisition from the ECU (Electronic Control Unit) of a production model vehicle is used. The devised algorithm is simple enough to be designed and implemented in a production environment. The online estimation of parameter can also be used for engine fault diagnosis work.
Keywords :
Uncertain parameters , Sliding mode observer , Varying parameters , SIMULATION , MODELING , Coefficient of discharge , Online estimation
Journal title :
Simulation Modelling Practice and Theory
Journal title :
Simulation Modelling Practice and Theory