Reliability-based design optimization for flexible mechanism with particle swarm optimization and advanced extremum response surface method

被引：0
作者：
Chun-yi Zhang
Lu-kai Song
Cheng-wei Fei
Guang-ping Hao
Ling-jun Liu
机构：
[1] Harbin University of Science and Technology,School of Mechanical and Power Engineering
[2] Beihang University,School of Computer Science and Engineering
[3] The Hong Kong Polytechnic University,Department of Mechanical Engineering
来源：
Journal of Central South University | 2016年 / 23卷
关键词：
reliability-based design optimization; flexible robot manipulator; artificial neural network; particle swarm optimization; advanced extremum response surface method;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
To improve the computational efficiency of the reliability-based design optimization (RBDO) of flexible mechanism, particle swarm optimization-advanced extremum response surface method (PSO-AERSM) was proposed by integrating particle swarm optimization (PSO) algorithm and advanced extremum response surface method (AERSM). Firstly, the AERSM was developed and its mathematical model was established based on artificial neural network, and the PSO algorithm was investigated. And then the RBDO model of flexible mechanism was presented based on AERSM and PSO. Finally, regarding cross-sectional area as design variable, the reliability optimization of flexible mechanism was implemented subject to reliability degree and uncertainties based on the proposed approach. The optimization results show that the cross-section sizes obviously reduce by 22.96 mm2 while keeping reliability degree. Through the comparison of methods, it is demonstrated that the AERSM holds high computational efficiency while keeping computational precision for the RBDO of flexible mechanism, and PSO algorithm minimizes the response of the objective function. The efforts of this work provide a useful sight for the reliability optimization of flexible mechanism, and enrich and develop the reliability theory as well.
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页码：2001 / 2007
页数：6
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