The production of nitrogen from the air through membrane gas separation processes is widely used in many industries. The problem of controlling the gas separation process, it is connected with multi-loop control using the control of several variables. This article proposes an intelligent controller for matching fluctuations in pressure and airflow of the gas separator. The intelligent controller is based on a fuzzy logic algorithm. Applying fuzzy logic in the proposed solution allows you to increase the speed of the control system. The effectiveness of the proposed controller was evaluated in comparison with the PID controller. The proposed fuzzy controller can improve the accuracy of the control system of gas separation, reduce the process transient duration and increase the service life of technological equipment.
Based on the principle of corresponding states, a method developed for prediction the viscosity of liquid petroleum products that differ significantly in physicochemical properties and fractional composition. New approaches to the determination of the reduced temperature and viscosity are proposed. The initial data for the computation are the molar mass, the average volume boiling point and the relative density at 20 °C. Testing of the new technique in the temperature range (0.4–0.7)Tpc at pressures up to 10 MPa showed that the deviation of the predicted viscosity values from the experimental data is comparable with the experimental error.
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