Academic Journal

MULTIOBJECTIVE SYNTHESIS OF ROBUST CONTROL BY MULTIMASS ELECTROMECHANICAL SYSTEMS BASED ON PARETO-OPTIMAL SOLUTION

Bibliographic Details
Title: MULTIOBJECTIVE SYNTHESIS OF ROBUST CONTROL BY MULTIMASS ELECTROMECHANICAL SYSTEMS BASED ON PARETO-OPTIMAL SOLUTION
Authors: T. B. Nikitina
Source: Electrical engineering & Electromechanics, Iss 1, Pp 29-35 (2015)
Електротехніка і Електромеханіка; № 1 (2015); 29-35
Электротехника и Электромеханика; № 1 (2015); 29-35
Electrical Engineering & Electromechanics; № 1 (2015); 29-35
Publisher Information: National Technical University Kharkiv Polytechnic Institute, 2015.
Publication Year: 2015
Subject Terms: multimass electromechanical system, Pareto-optimal solution, robust control, multiobjective synthesis, Electrical engineering. Electronics. Nuclear engineering, 621.3.01, многомассовая электромеханическая система, робастное управление, многокритериальный синтез, Парето-оптимальное решение, багатомасова електромеханічна система, робастне керування, багатокритеріальний синтез, Парето-оптимальне рішення, TK1-9971
Description: A multiobjective method of synthesis of robust control of multimass electromechanical systems based on the construction of the Pareto-optimal solution is improved. A Pareto-optimal solution based on a stochastic multi-agent particles swarm optimization, which can significantly reduce the time for solving the problem and meet the diverse requirements that apply to the work of multimass electromechanical servo systems in different modes is founded. The results of comparisons of the dynamic characteristics of the electromechanical servo system with synthesized robust regulators are presented.
Document Type: Article
File Description: application/pdf
ISSN: 2309-3404
2074-272X
DOI: 10.20998/2074-272x.2015.1.06
Access URL: http://eie.khpi.edu.ua/article/download/2074-272X.2015.1.06/34658
https://doaj.org/article/f9c3b74d2d014e7795755fe7c0fa1dea
http://eie.khpi.edu.ua/article/view/2074-272X.2015.1.06
Rights: CC BY NC
Accession Number: edsair.doi.dedup.....1e3b0e082bf0c3ceca1c0e3f47859397
Database: OpenAIRE
Description
ISSN:23093404
2074272X
DOI:10.20998/2074-272x.2015.1.06