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Документ Parametric synthesis of control systems for the steam generator of a nuclear power plan(Технологічний центр, Українська державна академія залізничного транспорту, 2022) Nikulina, Elena Nikolaevna; Severin, Valeriy Petrovich; Kotsiuba, Nina ViktorivnaThis paper proposes models and methods of the parametric synthesis of automatic control systems for a steam generator at a nuclear power plant, based on the modification of unconditional optimization methods. A mathematical model of steam generator control systems designed for the synthesis of model parameters has been considered. Algorithms are given for calculating level objective functions that take into consideration the limitations of variable parameters and quality indicators of problems for identifying and optimizing model parameters. The methods of unconditional optimization have been modified by introducing the operation of comparing the values of the level objective functions. Using the information technology of optimization, computational experiments were carried out to synthesize the parameters of the steam generator control systems by optimizing the level objective functions. The values of 54 parameters for the model of the control system in the PGV-1000 steam generator were identified, the value of standard deviation in the processes of 1 % from the experimental processes was achieved in the model. The result of parametric synthesis of optimal control systems for a steam generator produced a minimum control time of 131 seconds while the time of computational experiments did not exceed 10 minutes. The peculiarity of the proposed approach to the parametric synthesis of control system models is that the level objective function as a single mathematical object includes all the information about the synthesis problem. Therefore, a given approach is promising for simplifying software for solving complex problems of parametric synthesis of control systems. The considered technology of parametric synthesis of control systems could increase the degree of scientific validity of technical projects to improve various applied and promising control systems.Документ Optimal design of intelligent control systems of steam turbine using genetic algorithms(Institute of Information Theories and Applications FOI ITHEA, 2009) Fedyanyna, Khrystyna; Kucher, Ievgeniia; Severin, Valeriy PetrovichOne of the basic engineering problems of the automatic control systems synthesis for steam turbines is systems quality indices optimization task. The features of such task are defined by plenty of control systems structural parameters, complication of quality indices formalization and calculation, the systems models high order. The greatest difficulty of the control system synthesis is optimization models and methods design. The paper purpose is to develop models and methods for optimum design of the intelligent automatic control systems of atomic power station steam turbine using genetic algorithms. The steam turbine automatic control system is applied to stabilize turbine rotor frequency with high precision. The intelligent steam turbine control system includes a steam turbine, frequency sensor, intelligent frequency regulator, electro-hydraulic automatic drive and turbine adjusting valve. Input signals on an automatic drive can be given by the steam pressure regulator through the turbine management mechanism or by the electric power regulator. Assumptions substantiated to model the automatic control system and automatic drive as executive link of control system. The automatic drive diagram of principle includes electro-hydraulic transformer, sleeve valve, servomotor, position sensors and electronic part. In the paper were built the mathematical models of automatic drive and steam turbine, the models permanent parameters values were calculated, the mathematical models of the automatic control system were developed in state space with the intelligent frequency regulator, the regulator parameters were optimized with system quality indices using genetic algorithms.Документ Optimal synthesis of intelligent control systems of atomic power station using genetic algorithms(Institute of Information Theories and Applications FOI ITHEA, 2009) Jafari Henjani, Seyed Mojtaba; Severin, Valeriy PetrovichThe paper is devoted to the development of a perspective concept of atomic station power block intelligent automatic control systems synthesis on the basis of mathematical models and numeric methods of vector optimization of systems quality indexes using genetic algorithms. The methods for calculation of direct quality indexes and improved integral quadratic estimates have been created. The step-by-step principle of transition to the domain of system stability has been based. There have also been suggested vector objective functions including stability conditions and taking into consideration quality indexes priorities. The reliable genetic algorithms for vector objective functions optimization have been suggested. Mathematical models in the state space for intelligent automatic control systems of nuclear reactor and steam generator have been worked out. The quality indexes optimization of power block intelligent control systems has been carried out, which allowed to estimate various controller types efficiency.Документ Application of Genetic Algorithms to Vector Optimization of the Automatic Control Systems(Institute of Information Theories and Applications FOI ITHEA, 2009) Severin, Valeriy PetrovichMethods for calculation of quality indexes for automatic control systems are presented. For the optimization of quality indexes defined only in a stability domain a vector objective function of varied parameters of the system is proposed. The stepwise principle of successive satisfaction of constraints for the passage into the definition domain of quality indexes is considered, as well as a rational mechanism of its realization in the form of the priority optimization of the vector objective function. For the optimization of the vector objective functions genetic algorithms as vector optimization methods are presented. Their application allows one to steer the optimization process from any initial point of the space of varied parameters into the stability domain of the system and to find the optimum of the quality indexes in this domain. The efficiency of the proposed application of vector genetic algorithms for the quality indexes optimization is confirmed by computational experiments.Документ Multicriterion Synthesis of Intelligent Control Systems of Generating Unit of Nuclear Power Station(Iran University of Science & Technology, 2014) Jafari Henjani, Seyed Mojtaba; Severin, Valeriy PetrovichThe paper is devoted to solution of some problems in nuclear power station generating unit intellectual control systems using genetic algorithms on the basis of control system model development, optimizations methods of their direct quality indices and improved integral quadratic estimates. Some mathematical vector models were obtained for control system multicriterion quality indices with due consideration of stability and quality indices criteria, this increasing the reliability of optimal control system synthesis. Optimal control systems with fuzzy controllers were synthesized for nuclear reactor, steam generator and steam turbine, thus allowing comparison between fuzzy controllers and traditional PID controllers. Mathematical models built for nuclear power station generating unit control systems, including nuclear reactor, steam generator, steam turbine and their control systems interacting under normal operational modes, which permitted to perform parametrical synthesis of system and to study various power unit control laws. On the basis of power unit control system models controllers were synthesized for normal operational modes.Документ Development of the controller for the quadcopter Finken in simulation enviroment VRep(NTU "KhPI", 2016) Severin, Valeriy Petrovich; Nikulina, Elena Nikolaevna; Buriakovskyi, Vladyslav SerhiiovychThe problem of control of quadcopter Finken, that was created at department of Intellectual systems at Otto von Guericke University Magdeburg, was presented. The simulation environment VRep as 3D robot simulator was reviewed. The general mathematical model of copter was presented and the model of quadcopter Finken was created in VRep simulation environment. The principles of working continue and discrete PID controllers were described and analyzed. The models of motion of quadcopter Finken were reviewed and implemented in simulation environment VRep. The model of recommended PD controller for quadcopter Finken was described and implemented. The test flights were done and the stable flying motion of quadcopter was received. The conclusions about possible use such a model was made.