criterion

Development of PI-controller optimal tuning method

Aim. The research aims to develop a method of optimal PI-controller tuning, which allows to take into account the constraints and to minimize the undesirable indicators of the automatic control quality. Method. In order to carry out the investigation, the problem of optimal PI-controller tuning was stated in a general form. The analysis of the elements of the problem has been conducted. It allowed substituting the elements to the requirements of individual minimization criteria.

Reduction of phase interactions in control processes of “arc steel-making furnace – power supply system” complex electrical technological system

In the article system engineering solutions for enhancing the single-phase autonomy of the processes of controlling the coordinates of electrical mode (EM) in an electrical mechanical sub-system of moving the electrodes of  an electric arc steel-making furnace by including a cross-link compensator into its structure. The technique of the synthesis of transfer functions of the cross-link compensator in phase control channels are proposed and mathematical models of cross-link compensators for electric arc furnace EAF-3 (ukr. ДСП-3) are obtained.

Розв’язання задач оптимального розміщення об’єктів методом імітаційного моделювання

This paper deals with questions of construction of mathematical and simulation models of optimal placement of objects, formalization of tasks and building placement algorithm solving problems of optimum allocation of objects by simulation.

Modeling of pricing on machinery products

The article features revealed pricing for machine building products. The general approach to modeling the process of pricing for machine building products within the parameters of the demand for goods produced using this product. The building model performance optimization criterion prices and volumes of sales machine building company. Established the possibility of using performance optimization criterion prices for machine building  products to address the task of selecting the best varieties of products.