Control of technological objects of sugar production on the basis of self-organization in nonlinear systems

Abstract

The research has revealed the defining features of sugar production facilities, which fully correspond to the characteristics of a complex organisational and technical system. One of the characteristic features of such facilities is the presence of intermittance, i.e. the occurrence of intermittent modes over time: deterministic, stochastic and chaotic with the formation of dissipative spatio-temporal structures. This property ensures the presence of self-organisation processes, which can ensure the organisation of effective strategies for resource-efficient management. This task is solved by synergistic management systems. Synergistic control regulators ensure asymptotic stability of control systems with respect to their desired operating modes, invariance to changes in various factors, and robustness. The synthesis of the laws of synergistic control of technological objects in sugar production is based on the methodology developed by the authors. This methodology allows the evaluation of parameters of nonlinear models through experimental identification in various situationally significant zones, which ensures the efficiency and accuracy of control. The synthesized synergistic control system has demonstrated its performance, stability, and effectiveness.

Thus, the use of a synergistic approach to the management of technological facilities in sugar production opens up new opportunities for improving the efficiency of production systems. The development of synergistic regulators not only ensures the stability of technological processes in complex and changing conditions, but also contributes to the optimisation of energy and material resources. This is very important for modern sugar production, where there are constantly increasing requirements for energy efficiency, reliability, safety and quality of the products they produce. Based on these results, even during the design of automated control systems, as well as during the modernisation of existing technological lines of sugar industry enterprises, it is possible to bring manufacturing standards to a new level. Similarly, standard control models can be expensive and outdated, and there is no single effective adaptation algorithm.