Application of Fuzzy Logic in Real-Time Systems Based on the Umicon Software and Hardware Complex

   In application to complicated production technology and control objects in modern industrial areas of engineering systems management, classical control methods have their well-known disadvantages in stabilization and performance. To overcome these disadvantages, the development and implementation of more efficient intelligent algorithms for process control systems (APCS) is required. In addition, increasing the efficiency of process control systems is one of the important tasks in modern areas of management. To achieve these goals, it is necessary to introduce new approaches to building real-time control systems, such as adaptive control and control methods based on artificial intelligence including fuzzy logic. Control systems based on fuzzy logic are most often used when information about control objects is insufficient and classical PID controllers cannot provide the required quality of control and regulation. Some NPP control objects belong to this type of control objects. Stages of developing a fuzzy algorithm, its implementation in a real-time system, and integrating it into a toolkit for designing process control systems (APCS) are considered. The algorithm includes the stages of fuzzification, rule base, and defuzzification. The fuzzy logic algorithm is implemented in the MikBASIC interpreter environment, which is the MWBridge real-time database technological programming system. Furthermore, the aim of this work is to develop a real-time fuzzy controller to control a gate valve in order to maintain the system output parameters in accordance with the specified values.

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