Параметричний синтез системи паливоподавання дизельного двигуна: глибинне навчання системи керування

Abstract

Стаття присвячена удосконаленню двигуна дизельного електрогенератора з метою підвищення його надійності та енергоефективності. Створено технологію параметричного синтезу системи паливоподавання дизельного двигуна на основі глибинного навчання системи керування.

Diesel generators are widely used as a stand-alone or stand-alone power source in places where there is no reliable and high-quality supply of electricity from a stationary transmission line. The main consumers of diesel generators are usually medical, industrial and educational institutions, banks, laboratories, offices, agriculture, construction, as well as all other institutions where power outage is highly undesirable. The technology of parametric synthesis of the fueling system of a diesel engine on the basis of the deep learning of the control system is created. In order to increase the energy efficiency of a diesel generator, it is necessary to use a synergistic approach, evolutionary methods of modeling and deep learning technology. Experimental studies of diesel fuel supply system as part of a complex research stand confirmed the theoretical results of the solution of the parametric synthesis problem based on the use of deep learning technology. Publications are based on the research provided by the grant support of the State Fund For Fundamental Research (project N F76/18-2018).