Open AccessDevelopment of automatic control system: simulation, optimization and analysis of stability
Author(s) -
Л. А. Денисова,
V. A. Meshcheryakov,
R. D. Karabtsov
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1546/1/012005
Subject(s) - matlab , stability (learning theory) , control theory (sociology) , discretization , computer science , toolbox , control system , control engineering , software , global optimization , power (physics) , electric power system , genetic algorithm , signal (programming language) , control (management) , engineering , mathematics , algorithm , mathematical analysis , quantum mechanics , machine learning , artificial intelligence , electrical engineering , programming language , operating system , physics
The issues of creating an automatic control system (ACS) as part of the software and hardware complex (SHC) designed to control the technological equipment of the turbine compartment of a nuclear power plant are considered. Multicriteria optimization was carried out using ACS simulation and an optimization method based on a genetic algorithm implemented by the MATLAB / Simulink / Global Optimization Toolbox. The approximation of SHC relay-pulse controllers, which are used in control loops, by linear regulators, is carried out. Based on this, an analysis of the system stability was performed. Resistance margins are determined taking into account the influence of signal discretization in control loops. The studies showed that the optimized ACS has sufficient stability margins and provides the accuracy of maintaining the object parameters in the normal operation of the power unit.