The article deals with the problem of optimization of parameters 6-6 UPU of the mobility platform using the Particle Swarm Optimization (PSO) algorithm. The optimization criterion is based on minimizing the dimensions of the structure, taking into account the required relationships between some parameters. The limitation of optimization is the condition of providing the required workspace, taking into account the platform orientation ranges. An algorithm for calculating the estimate of the occurrence of the required area in the workspace of the platform with given parameters is synthesized. Workspaces specified as an ordered set of integers. The results of mathematical modeling are presented.

Application of evolutionary PSO algorithms to the problem of optimization of 6-6 UPU mobility platform geometric parameters

Malyshev D.;
2022-01-01

Abstract

The article deals with the problem of optimization of parameters 6-6 UPU of the mobility platform using the Particle Swarm Optimization (PSO) algorithm. The optimization criterion is based on minimizing the dimensions of the structure, taking into account the required relationships between some parameters. The limitation of optimization is the condition of providing the required workspace, taking into account the platform orientation ranges. An algorithm for calculating the estimate of the occurrence of the required area in the workspace of the platform with given parameters is synthesized. Workspaces specified as an ordered set of integers. The results of mathematical modeling are presented.
2022
optimization
parallel robot
Particle swarm optimization
workspace
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/362832
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