Constrained multi-objective optimization design of TriPower hydraulic excavator

被引：0

作者：

Xu G. ^{[1
,2
]}

Guo E. ^{[1
]}

Feng Z. ^{[3
]}

机构：

[1] School of Mechanical Engineering, Jiangsu University, Zhenjiang

[2] Zhangjiagang Furui Special Equipment Company Limited, Zhangjiagang

[3] School of Mechanical and Equipment Engineering, Hebei University of Engineering, Handan

来源：

Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology) | 2022年 / 53卷 / 07期

基金：

中国国家自然科学基金; 中国博士后科学基金;

关键词：

constrained multi-objective optimization; evolutionary algorithm; hydraulic excavator; technique for order preference by similarity to ideal solution(TOPSIS); TriPower; working attachment;

D O I：

10.11817/j.issn.1672-7207.2022.07.012

中图分类号：

学科分类号：

摘要：

To address the constrained multi-objective optimization problem of hydraulic excavator, the multiobjective optimization design of TriPower hydraulic excavator by evolutionary algorithm was researched. Firstly, according to the features of TriPower shovel attachment and technical indicators of hydraulic excavator, the constrained multi-objective optimization model of TriPower hydraulic excavator was established, which set level crowding, translational lifting, constant boom momentum, digging forces, crowding force and the ratios of influencing factors for active cylinders as objective functions. Then, an advanced constrained multi-objective evolutionary algorithm named PPS-MOEA/D was applied in solving the optimization model and it was compared with other seven state-of-the-art constrained multi-objective evolutionary algorithms in the case study of 70 t TriPower hydraulic excavator. Finally, the optimal scheme was selected from the obtained non-dominated solutions based on the technique for order of preference by similarity to ideal solution and compared with other design of hydraulic excavator in main technical parameters. The results show that constrained multi-objective evolutionary algorithm is useful for the multi-objective optimization problem of hydraulic excavator, and multi-attribute decision making method can be used to select the design schemes rapidly. © 2022 Central South University of Technology. All rights reserved.

引用

页码：2519 / 2532

页数：13

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