Стохастическая мультиагентная оптимизация роем частиц анизотропийных регуляторов двухмассовых электромеханических систем

Abstract

Developed a method for solving the problem of multi-synthesis anisotropic regulators by two-mass electromechanical systems based on multi-agent stochastic particle swarm optimization, which can significantly reduce the time for solving the problem and meet the diverse requirements that apply to the work of two-mass electromechanical systems in different modes. The results of comparisons of the dynamic characteristics of the twomass electromechanical system synthesized anisotropic regulators and types of regulators.