Control systems design: the technology of stochastic perturbations simulation

Komarov²,

2022

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The method of analytical modeling and simulation of technological processes is presented, which makes it possible to assess the influence of external factors on the operation of information and control systems. The application of this method to study the process of detecting pipeline defects by vibroacoustic control systems is considered. A mathematical model with automatic selection of the parameters of autocorrelation functions of random disturbances is proposed, which makes it possible to take into account the influence of natural and man-made noises on the detection process. The possibility of modeling the influence of random disturbances on the working processes of technological machines is also considered. The proposed simulation models are of practical value, since they allow one to study virtual prototypes of construction and road-building machinery in various modes and reduce the cost of performing expensive field experiments.

Section: Development Of a Simulation Model Of A Pipeline Systemmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Method of analytical modeling and simulation of technological processes subject to the influence of external factors

Komarov²,

2022

Self Cite

Control systems design: the technology of simulation and optimization

2019

The simulation and optimization technology is proposed for creating control systems that are designed for heat and power facilities. This paper presents an automatic feed control system of steam generators in the nuclear power plant unit on the basis of microprocessor controllers. The technology of simulation and optimization combines the methods of statistical modelling of disturbance signals, the control system simulation and the controller parameters optimization using genetic algorithm. As the initial data for the model design, we used archival information about processes on the existing unit equipment. The results of simulation studies and optimization of automatic control system’s parameters are derived in MATLAB.

The control system simulation technology for optimization and determination of the feasible parameters domain

Karabtsov

2020

This paper focuses on the simulation technology for optimization of the automatic control system (ACS) parameters vector to be tuned and to provide a stable operating mode eliminating self-oscillations. A hybrid approach (synthesis of optimal control methods and simulation research) for designing ACS using genetic algorithms is presented, which allows taking into account constraints when searching for the optimal solution. Simulation of the ACS was performed using the software tools MATLAB / Simulink / Global Optimization Toolbox. It is shown that the proposed technology for determining the domain of recommended tuning parameters is effective for computer-aided design of ACS, it allows to significantly improve the quality of control and reduce the time spent on pre-setting developed controllers.