Abstract

This 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.

Highlights

  • Existing nuclear power plants (NPPs) require the modernization of automatic control systems (ACS) to improve their safety, based on modern mathematical methods and advanced information technologies [1]

  • The use of optimization methods makes it possible to perform the synthesis of optimal systems based on quality criteria that take into consideration many modern technical requirements for the protection and safety of nuclear power plants [2]

  • Our computational experiments for the synthesis of control system models are performed for PGV-1000 steam generators, which are operated at 13 power units of Ukrainian NPPs

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Summary

Introduction

Existing nuclear power plants (NPPs) require the modernization of automatic control systems (ACS) to improve their safety, based on modern mathematical methods and advanced information technologies [1]. The use of optimization methods makes it possible to perform the synthesis of optimal systems based on quality criteria that take into consideration many modern technical requirements for the protection and safety of nuclear power plants [2]. Complex and responsible is the synthesis of optimal control systems for NPP steam generators, which are sophisticated thermal objects consisting of many elements and functioning at high temperatures and pressure of water and steam. It is a relevant task to study the synthesis of NPP control systems, in particular control systems of steam generators, based on advanced information technologies

Literature review and problem statement
The aim and objectives of the study
The study materials and methods
Results of parametric synthesis of steam generator control systems
Discussion of results of the synthesis of steam generator control systems
Findings
Conclusions
Full Text
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