In order to improve the pump station control quality a special case of fuzzy controllers has been suggested to use, in which both the input and output variables are represented by a set of mutually non-overlapping terms of the rectangular shape of the membership function (precise terms). As it has been found out there is only one term in this set at any moment of time that is equal to a logical unit, whereas in the production rules system operating such terms, at any arbitrary moment of time, only one production rule antecedent is equal to a logical unit. This allows without losing of the control adequacy in each controller production system scanning cycle not to execute it completely, but solely as far as the rule, whose antecedent at a given moment is equal the logical unit, which also offers immense opportunities to increase the controller speed. In fuzzy controllers with precise terms, unlike the conventional fuzzy controllers the control precision has been shown to be invariant with respect to the complexity of the production rules conditional part structure. It is now clear that precision of fuzzy controllers with precise terms in the control systems as represented by verbal models is compatible with PID-controllers precision while using them to control the linear process facilities.

In the article, the power consumption of pump station control systems was simulated in the iThink software package. For this purpose, simulation models of two control systems to control the oil level in the pump station were developed. In the first of these, only the frequency converter was used as a control element, and in the second one, in addition to the frequency converter, a fuzzy controller was also involved. A simulation of oil level control process, presented in a graphical form, was conducted, as well as the graphs for energy consumption of the pumps were obtained. Based on the initial and obtained data, the efficiency of the considered control systems was compared, and also dependency graphs for energy consumption of the systems using only a frequency converter and using a frequency converter and a fuzzy controller were obtained.Analysis of simulation models showed that it is more economical and safe to use the control circuit with a frequency converter and a fuzzy controller.

-During writing this work, the fuzzy controller with a double base of rules was studied; it was applied for the synthesis of the automated control system. A method for fuzzy controller adaptation has been developed. The adaptation allows the fuzzy controller to automatically compensate for parametric interferences that occur at the control object. Specifically, the fuzzy controller controlled the outlet steam temperature in the boiler unit BKZ-75-39 GMA. The software code was written in the programming support environment Unity Pro XL designed for fuzzy controller adaptation.

The article is devoted to the synthesis of a fuzzy regulator for optimal regulation of parameters in a three-phase separator of Heater-Treater type in whichthe liquid-gas mixture is separated, heated, and oil emulsion is split into formation water and oil. These processes are complicated by the fact that an oil-water phase is converted into a stable emulsion (a disperse system of finely distributed water droplets in oil) for desalting and dewatering of which separation of disperse oil medium from disperse water phase is required. The solution to this problem is impossible without introduction of an automated system. And not only use of the automated system, but an optimal process management is required,. During optimization, a chosen method and an obtained optimal structure of the process control system is of great importance. In conditions where development of a control system for a complex object is complicated by the fact that it is impossible for the latter to develop accurate mathematical models using integral-differential equations, fuzzy logic is becoming a tool allowing development of the control system for the said complex object. A mathematical model allowing simulating processes taking place inside a system is obtained. The study of the simulation model makes it possible to obtain information that can be used to control a real object. To ensure the best quality of the automated process control system, methods for optimization of its structure are presented. Examples demonstrating efficiency of the proposed methods are given.

The article is devoted to the development and research of a flow laboratory bench model based on highprecision measuring instruments "KROHNE". The following instruments were used: electromagnetic flowmeter ALTOFLUX IFM 5080 K, mass meter Korimass 10G + MFM 4085 K/F, electromagnetic flow rate meter DWM 2000. Highly intelligent instruments allow more accurate selection of the necessary amount of raw materials and other initial components, also maintain process parameters, and maintain pressure, level, and temperature at a set level. This makes it possible to increase the yield of final products, to reduce the amount of produced waste, to reduce waste disposal costs and to reduce energy costs thanks to more precise process run. The conducted studies with uncontrolled and controlled drives depending on the power consumption, which depends on the flow, have shown that it is possible to obtain power savings from 34% to 75%.