The paper presents a scientifically based solution for comprehensive automation of the production of full-ration feed, integrated with an autonomous biogas power system. A functional architecture and a program-logic algorithm of microprocessor control have been developed, which provides continuous processing of multidimensional technological data in real time. The methodological approach is based on the synthesis of deterministic models of mass and heat transfer with experimental characteristics of distributed control circuits. The integration of the absorption heat pump into the technology made it possible to optimize the generation and cascade distribution of high- and low-potential energy carriers, which ensured the maintenance of strictly defined thermodynamic modes at critical stages: anaerobic fermentation of substrates, moisture-heating treatment, infrared micronization of grain, as well as convective drying and forced cooling of the feed mixture. The control circuit operates on the principles of adaptive-predictive control, based on continuous monitoring of key physical and chemical indicators with automatic correction of actuator drives. The computing core of the system operates with interactive methods of solving differential equations of non-stationary heat exchange, which allows real-time compensation of stochastic fluctuations in the physical and chemical composition of the raw material and leveling the cumulative accumulation of measurement errors. The distributed sensor field architecture provides multi-level verification of input signals, transforming a traditional linear energy circuit into a highly integrated regenerative closed-loop network with minimized exergetic losses. Multilevel purification of biogas, including cryogenic drying, water absorption and catalytic desulfurization, coupled with recuperative heat exchange cycles, significantly increased the exergetic efficiency of the line. In addition, a multifactor optimization mechanism has been implemented that takes into account the nonlinear relationships between the kinetics of methanogenesis and the hydrodynamics of the reactor space. The introduction of digital twins of thermal control circuits made it possible to minimize the inertia of the system response to disturbing effects, increasing the stability of technological transients. This approach provides synergistic alignment of energy flows. Program logic implements predictive stabilization of biokinetic parameters taking into account the seasonal dynamics of raw material humidity, minimizing the inhibitory effect of acid metabolites on microbiocenosis. The introduction of the system guarantees a stable output of standardized biofuels, compliance of products with zootechnical regulations, narrowing the technological dispersion of quality indicators by 0.1-0.5% and reducing specific energy costs by 7-10%, forming a theoretical and applied basis for closed resource-saving feed production.

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