Scientific and Technical Journal


ISSN Print 2221-3937
ISSN Online 2221-3805
Developed a method for solving the problem of multiobjective synthesis of anisotropic regulators of multimass electromechanical systems based on the construction of the Pareto optimal solutions using stochastic algorithms to op-timize multi-agent multiswarm particles, thereby reducing the time of determining the parameters of regulators multi-mass anisotropic electro-mechanical systems, and meet a variety of requirements that apply to the electro-mechanical multimass systems various modes.
To properly solve the problem of multiobjective optimization uses a vector quality criteria, limits and binary pref-erence relations component of the vector criterion. Using the Pareto optimal solutions to solve the original problem of multiobjective optimization can significantly reduce the area required parameters by allocating a plurality of non im-prov solutions build not one, but many non dominant decisions that can not be improved at the same time for all the components of the vector criterion.
To solve the problem of a stochastic algorithm to optimize multi-agent multiswarm particles in which the amount is equal to the number of swarms components of the vector optimization criterion. With individual swarms solved the problem of optimizing the scalar criteria, which are components of the vector optimization criteria, while individual swarms exchange information among themselves in order to obtain an optimal solution of the original multiobjective task. This approach can significantly narrow the range of possible optimal solutions of the original multiobjective opti-mization problem and therefore reduce the complexity of the decision-maker for a single selection of optimal solutions.
The results of the comparisons of dynamic characteristics of the synthesized systems showed that the use of anisotropic regulators allowed to reduce random error compensation of external disturbance, reduce the time control and reduce the sensitivity of the system to modify the plant over systems with standard controllers.
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