Patent ID: 6289275
Filing Date: 2001-09-11
Classification: F02D,G05B

Abstract:
A method for implementing a neural network based controller for controlling fuel flow to an engine of a motor vehicle, comprising the steps of:providing a plurality of inputs indicative of the operating conditions of the engine, where the plurality of inputs include engine speed, manifold absolute pressure, throttle position, AIS motor position, engine out oxygen value, spark advance position, charge temperature, engine coolant temperature, and neural network output;acquiring first input data indicative of a first engine state and second input data indicative of a second engine state from said plurality of inputs;determining a first desired fuel multiplier corresponding to said first engine state and a second desired fuel multiplier corresponding to said second engine state;implementing a first neural network having a first topography, for calculating a fuel multiplier based on said plurality of inputs, wherein the fuel multiplier is used to control fuel flow in the engine;configuring said first neural network using supervised neural network training with said first input data;testing said first neural network using said second input data;identifying at least one of said plurality of inputs based on a weighting determination from the neural network training; andimplementing a final neural network in the neural network based controller using said identified inputs based on the weighting determination.