Modelling the Combustion Process in the Diesel Engine with the Use of Neural Networks

The results of indicating the Diesel engine in dynamic conditions have been presented in the paper. Dynamic conditions of engine work were achieved by free running up of the engine caused by the step change of the position of the lever controlling the fuel dose. The parameters of the combustion process were calculated: mean indicated pressure, maximum combustion pressure, the angle of combustion start occurrence, the angle of maximum combustion pressure occurrence, maximum velocity of pressure rise, the angle of self-ignition lag. The course of mean indicated pressure was modelled in dynamic conditions according to combustion pressure maximum occurrence angle and maximum combustion pressure. The method of neural network was used for the purpose of investigation. The results may be useful to effective control of the diesel engine under dynamic conditions. The method of neural networks enables easy application of the obtained model to the problem of diesel engine control. The obtained test results widen general knowledge about diesel engine operation in dynamic conditions.