Conference Proceedings
Model Predictive Control of a fuel injection system with a Radial Basis Function Network Observer
C Manzie, M Palaniswami, H Watson
Proceedings of the International Joint Conference on Neural Networks | IEEE COMPUTER SOC | Published : 2000
Abstract
This paper proposes using a Model Predictive Control (MPC) incorporating a Radial Basis Function (RBF) Network Observer for the fuel injection problem. Two new contributions are presented here. Firstly a RBF Network is used as an observer for the volumetric efficiency of the air system. This allows for gradual adaptation of the observer, ensuring the control scheme is capable of maintaining good performance under changing engine conditions brought about by engine wear, variations between individual engines and other similar factors. The other major contribution is the use of model predictive control algorithms to compensate for the fuel pooling effect on the intake manifold walls. Two MPC al..
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