Technical Paper
A Strategy Based on the Architecture ANFIS (Adaptive Neuro-Fuzzy Inference System) for Calibration of Internal Combustion Engine
2012-10-02
2012-36-0521
Nowadays the necessity of diminish the processing time is searched incessantly in the industry in general, what it is not different for the automotive industry. The test of internal combustion engines (ICE) adds in general, a significant cost for the automobiles manufacturers due to difficulties found during the calibration of the engines[1][2]. Regarding the higher costs that involves all the process, we consider the use of Neuro-Fuzzy systems to facilitate the calibration, to diminish the running time and to avoid the using of expensive equipments by means of the introduction of a new strategy for controlling of air-fuel mixture. This strategy can describe the non linear characteristics of the ICE and adds a level of adaptability to the system, through the adjustment of its parameters by functional data of the engine[1].
