Design of embedded software for controlling the Common Rail high-pressure pump

The paper presents the results of the development of a complex algorithm for controlling the high-pressure fuel pump (HPP) of the Common Rail injection system. The peculiarity of the algorithm is the use of predictive model and adaptation function working together with PID controller. The predictive model simplistically describes the working process of the hydraulic accumulator and specifies the operation of the PID-regulator. The adaptation function is a machine learning mechanism to store and utilise the result of the PID controller. The publication only summarises the adaptation, more detailed material will be presented in new papers. This control technique is new and allows to improve the quality of transient processes that have a significant impact on the environmental performance of the diesel engine. At the same time it is today, when high-performance microprocessor technology has appeared, the possibility of realisation of complex control algorithms has opened up. In this regard, this material is relevant and may be useful for specialists in controlling the working process of internal combustion engines. The efficiency of the algorithm has been verified experimentally. The publication contains: the structure of the whole algorithm of the fuel injector control, description of the PID-regulator, predictive model and brief information about the adaptation function. In addition, the publication provides information about the test bench and its automation, made with the technical support of the Production association OWEN.

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