Abstract
The aim of this paper was to create and compare models of pressure in an injection pipe built by selected methods from the field of computational intelligence. Measurements of pressure in the injection pipe of a diesel engine on a test bench were conducted. Several models of the pressure in the injection pipe, including the proposed genetic-fuzzy system (GFSm) and the well-known neuro-fuzzy ANFIS method, were built. The weakest was the Takagi–Sugeno model created by genfis3 function. The models obtained by GFSm allow for the simulation of pressure for all allowable crankshaft speeds. The best model (built by GFSm) can be used to control and evaluate the quality of the injection process of piston engines fuelled by biofuel or diesel fuel with accuracy required in practical technical applications.
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