A method for optimizing the structure of the software and hardware complex of a distributed process control system for large industrial enterprises

TL;DR

This paper introduces a metaheuristic ant colony algorithm to optimize the structure of software and hardware in automated control systems for large industrial enterprises, aiming to improve system design efficiency.

Contribution

It presents a novel application of ant colony optimization to the structural design of control systems in large industrial settings.

Findings

The algorithm effectively optimizes system structure.

Numerical example demonstrates practical applicability.

Provides directions for future research.

Abstract

The article proposes a method for optimizing the structure of the software and hardware complex of an automated control system for continuous technological processes for large industrial enterprises. General information is given on the relevance of the problem of choosing the structure of a system built on the basis of serially produced components, a formal description of the optimization problem is given, the criterion and limitations are highlighted. A solution method using the metaheuristic algorithm of ant colonies is described. A numerical example of the solution is given, the results of the algorithm are analyzed, and directions for further research are determined.