Abstract
One of the most promising renewable energy sources is the production of biogas from waste and its further use. The stability of technological systems for biogas production is described by a set of quantitative indicators that depend on the structure, operation algorithm and stability indicators of individual elements. When developing technological control systems for biogas plants, it is necessary to solve a whole range of tasks related to the processing of initial information for the analysis and synthesis of optimal system options. The aim of the study is to develop a methodology for determining the stability of the automatic control system for biogas production processes as an integral part of the technological system, which makes it possible to formalize quantitative and qualitative characteristics and create an algorithmic and software base for calculations. Since the technological control systems of biogas plants are nonlinear control objects, then to study their operation, linearization is provided within the basic mode, while the mode specified by the optimizer is within the linearization error. Design problems are solved in the presence of analytical dependences of the stability characteristics of the system on the stability characteristics of objects. Considering that the interacting elements of the systems are individual types of equipment and various types of raw materials and energy carriers involved in technological processes, a large number of information materials should be used when operating equipment of biogas plants. When designing a technological system for biogas production for a specific object, it is necessary to create its conditionally complete dynamic model, and using the model, calculate matrices for various operating modes and determine the boundaries of the spectra of eigenvalues and consider options for matching the regulator with the object. Considering approximately the same costs, the preferred option should be considered the option that provides the greatest margin of stability.
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