Neural Network Nonlinear Modeling of a Common Rail Injection System for a CNG Engine
نویسندگان
چکیده
In this paper, nonlinear dynamical black-box models of a common rail injection system for a CNG engine are developed. In particular, the common rail pressure dynamics is modeled on the basis of three input signals, easily and cheaply measurable on board a vehicle. The nonlinear model is identified by means of Multi Layer Perceptron neural networks. Both non-autoregressive (NMAX) and autoregressive (NARMAX) models have been developed, showing satisfactory performance. Key-Words: Internal combustion engines, CNG, Injection systems, Nonlinear Modeling, Identification, Neural Networks.
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