АДАПТИВНОЕ УПРАВЛЕНИЕ С ПРОГНОЗИРОВАНИЕМ ВНЕШНЕЙ НАГРУЗКИ В АВТОНОМНЫХ ЭЛЕКТРИФИЦИРОВАННЫХ ПЛАТФОРМАХ

Abstract

One of the effective ways to intensify technological processes in the agricultural sector and at the facilities of the agro-industrial complex is the automation of cargo transportation both inside production and storage facilities and between the facilities of livestock and crop production complexes. Complex automation is possible on the basis of adaptive methods of vehicle management, taking into account fluctuations in the parameters of technological processes due to weather, organizational and other factors. (Research purpose) The research purpose is evaluating the prospects of using adaptive systems with external load forecasting for automatic control of autonomous electrified platforms in non-deterministic conditions. (Materials and methods) The structure of adaptive flow control of an electrified platform is proposed. It is shown that the greatest effect in undetermined conditions is created by systems that combine the functions of self-organization and self-tuning. The complementary implementation of these functions allows you to get the maximum effect in adaptive automatic control with significant changes in external conditions. (Results and discussion) Based on the proposed complex dependence of the moment of the resistance forces on time and the angle of rotation of the drive, a new variant of the approach to modeling the external load acting on the drive is recommended. Zero, first and second order models are considered, for which power and kinematic vectors are given. (Conclusions) Taking into account the dynamically changing external load on the drive of rotational motion, it is proposed to use power and kinetic vectors characterizing the movement of the drive link. The use of zero, first and second order models makes it possible to organize effective adaptive control of an electrified platform at all phases of its movement. This makes it possible to use the proposed approach in transport and technological systems at agribusiness facilities.