Reliability optimization of two-link flexible manipulator

被引：12
作者：
Bai, Bin [1 ,3 ]
Zhou, Ce [2 ]
Ye, Nan [2 ]
Liu, Xiangdong [1 ]
Li, Wei [1 ]
机构：
[1] Hunan Sany Polytech Coll, Sch Engn Machinery, Changsha 410000, Peoples R China
[2] Hebei Univ Technol, Sch Mech Engn, Tianjin 300401, Peoples R China
[3] Inst Phys & Chem Engn Nucl Ind, Sci & Technol Particle Transport Separat Lab, Tianjin, Peoples R China
来源：
APPLIED MATHEMATICAL MODELLING | 2022年 / 101卷
基金：
中国国家自然科学基金;
关键词：
Flexible mechanisms; Reliability optimization; Support vector machine; Manipulator; Mean-probability decomposition and coordination; DYNAMIC-ANALYSIS; ROBOTIC ARMS; VIBRATION; MECHANISMS; COMPONENTS; DESIGN; LINEARIZATION; UNCERTAINTIES; FAILURE; NETWORK;
D O I：
10.1016/j.apm.2021.08.012
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
To address the low computational efficiency and accuracy for reliability optimization of flexible mechanisms, the mean-probability decomposition-coordination-based extreme support vector machine regression (MPDC-ESVR) method based on the dynamics and uncertainty is proposed. Firstly, a dynamical model is built to calculate the maximum deformation. Then, the ESVR is used as a surrogate model to study the reliability of the flexible mechanisms. Finally, the MPDC are adopted to optimize the weight of the flexible mechanisms considering multiple failure modes. It is proved that the computational efficiency and accuracy of the present methodology are superior to those of Monte Carlo simulation (MCS) and quadratic polynomial-Monte Carlo simulation (QP-MCS) through exemplification with a two-link flexible manipulator. The results indicate the two-link flexible manipulator optimized by current MPDC is lighter than that by the equal distribution probabilistic method and the original manipulator, which is essential for low cost-effectiveness without compromise to safety. (c) 2021 Elsevier Inc. All rights reserved.
引用
收藏
页码：76 / 95
页数：20
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