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.
This article presents a qualitative analysis of common communication systems based on random signals. The analysis is given in the context of protecting transmitted data from unauthorized access: the method of chaos shift keying and the method of chaotic modulation. As a result of the qualitative analysis presented by the time diagrams of the signals transmitted in the communication channel it was established that the chaos shift keying method presented by the COOK communication system has pauses in the transmission of information by random signals. At the same time the chaotic modulation method represented by apparatus for antiimitation protection of controlled objects does not have pauses in the transmission of information by random signals. The principle of the energy receiver functioning for the COOK communication system and apparatus for anti-imitation protection of controlled objects were shown. It is established, that communication systems based on chaotic modulation methods are more preferred for the protection of the transmitted signals from unauthorized access than the chaos shift keying method presented by the COOK communication system.
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