MULTIOBJECTIVE SYNTHESIS OF ROBUST CONTROL BY MULTIMASS ELECTROMECHANICAL SYSTEMS BASED ON PARETO-OPTIMAL SOLUTION
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 so...
Збережено в:
| Дата: | 2015 |
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| Автор: | |
| Формат: | Стаття |
| Мова: | Russian |
| Опубліковано: |
National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine
2015
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| Теми: | |
| Онлайн доступ: | http://eie.khpi.edu.ua/article/view/2074-272X.2015.1.06 |
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| Назва журналу: | Electrical Engineering & Electromechanics |
Репозитарії
Electrical Engineering & Electromechanics| Резюме: | 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. |
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