Brunetkin O. Models and methods of mathematical support for auto-mated systems controlling the process of using variable composition fuels

The thesis is devoted to finding a solution to the scientific problem of developing theoretical foundations for creating automated control systems, based on well-founded software models and methods for prospective systems controlling processes in thermal power equipment. These fundamentals take into account changes in the fuel composition and calorific value, aiming to ensure a stable equipment operation. Such approach allows to use variable composition fuels, in order to reduce the energy content of production work. A model for real-time determining the characteristics of gaseous fuels of arbitrary composition using a conditional fuel formula, considering the process of fuel combustion in a special device, has been developed. Also a method for correcting the conditional formula for gaseous fuels, which compensates the model uncertainties arising from internal and external disturbances, has been proposed. Methods for mathematical and physical modelling providing a solution to the problem of sustainable control of heat-power equipment, by means of correct modelling of heat-and-power processes, have been proposed. Applied methods for modelling of non-stationary heat transfer taking into account accumulating properties of control objects, as well as for finding solutions to second-order inertia equations based on a nonlinear formulation, have been developed, for using them in models of control systems.