Multicriteria Optimization of a Hydraulic Lifting Manipulator by the Methods of Criteria Importance Theory

被引：0

作者：

Misyurin, S. Yu ^{[1
,2
]}

Nelyubin, A. P. ^{[2
]}

Kreinin, G., V ^{[2
]}

Nosova, N. Yu ^{[2
]}

机构：

[1] Natl Res Nucl Univ MEPhI, 31 Kashirskoe Shosse, Moscow, Russia

[2] RAS, Blagonravov Mech Engn Res Inst, 4 Malyi Kharitonievski Pereulok, Moscow, Russia

来源：

BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES 2021 | 2022年 / 1032卷

基金：

俄罗斯基础研究基金会;

关键词：

Dynamic system; Hydraulic drive; Dimensionless parameters; Visualization; Multicriteria optimization; Criteria importance;

D O I：

10.1007/978-3-030-96993-6_31

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The article describes the procedure for multicriteria optimization and choosing the best parameter values of a manipulator designed to lift a heavy, bulky load using two parallel and synchronously operating hydraulic drives. Information about the dynamics of the system was obtained by computer simulation of a sufficiently complete dimensionless model. Three characteristics of the system are considered as optimality criteria: imbalance of mass loads on drives, power (size) of drives and synchronization of their operation. To search for feasible solutions to the optimization problem in the parameter space, a sequence of uniformly distributed points was generated. The sets of feasible and Pareto optimal solutions are analyzed using visualization tools in the MOVI program. Within the framework of the mathematical criteria importance theory, expert information on preferences regarding criteria was formalized and refined. In the course of this iterative procedure, the set of feasible solutions was narrowed down to 67, then to 4 alternatives, and in the end one best solution was chosen.

引用

页码：288 / 296

页数：9

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