Air path identification of turbocharged diesel engine using RNN

This paper discusses an identification scheme for air path of turbocharged diesel engine equipped with exhaust gas recirculation (EGR) and variable geometry turbocharger (VGT). Recurrent neural networks (RNNs) are used to estimate the mass flow rate of air and the intake manifold pressure of a turbocharged diesel engine. Training and generalization of neural network is performed using data generated from a virtual engine model developed in Matlab/Simulink^© environment. The implementation of RNN gives satisfactory result for both steady state and transient conditions. The identification models may found its application in model predictive control scheme and can replace costly physical sensors used to measure air flow rate and intake manifold pressure for air path control of a turbocharged diesel engine.