Nowadays global engine construction gets significant progress at a technological level, but specified manufacturers do not release any information about the composition, the structure of the algorithms and the software used by their equipment. It is possible to obtain information only fragmentary and, for example, the description of the electronic control unit algorithm is completely missing. This is a barrier for small companies to improve and adjust existing engines for specific purposes. The present paper describes and develops algorithm synthesis for an electronic diesel engine regulator. Mathe-matical modelling of the automatic control system has been carried out within the framework of the research. The results of the research have demonstrated the efficiency and sustainability of automatic electronic control system using the proposed algorithm.
Manufacturing companies of electronic control systems of diesel engines protect access to a program operation algorithm of the regulator that makes impossible adjustments and settings of its work, for example, at re-equipment or operational development of a new diesel engine. Therefore, it is important to acknowledge the solution of the scientific and technical problem of an effective and reliable system creation of electronic control of diesel fuel supply with an open program algorithm of its work. During the current research, settlement and experimental studies of a diesel engine supplied with a system of electronic control of a crankshaft rotation frequency developed by the authors show rather high adequacy in results. The dynamic mathematical model of the single-cylinder diesel engine supplied with the electronic regulator of rotation frequency has been developed and verified.
Areas of optimal amplitudes and minimal spectral unevenness of Rucklidge chaotic signals with better correlation abilities are demonstrated in the present research. A model of chaotic synchronization and information transmission system is implemented. The effect of the synchronization feedback coefficient and signal-to-noise ratio on the systems noise immunity is shown.