南京理工大学学报（自然科学版）2019，Vol.43Issue(2)：147-153,7.DOI:10.14177/j.cnki.32-1397n.2019.43.02.004
六维微重力模拟平台构型参数的多目标优化
Multi-objective optimization of configuration parameter for six dimensional microgravity simulation platform
摘要
Abstract
In order to solve the problems that the parallel mechanism has the same performance after the same proportion zoom and the performance index is related with the dimension selection, the Jacobian matrix is dealt with dimensionless by using the characteristic length method to ensure the continued optimization of the configuration parameters. By analyzing the impact of 6 design variables on the configuration parameter optimization and determining the 2 of 6 variables as the final multi-objective optimization variables,a set of optimal Pareto solutions is gotten and among them a group of optimal solution in accordance with the engineering is obtained under the premise that the workspace size can be obtained by the multi-objective NSGA-2 optimization algorithm for the 3 performance indexes of workspace inradius,global dexterity and global load capacity index. All the results show that the NSGA-2 method is more valuable for practical engineering than the traditional single objective optimization method.关键词
微重力模拟平台/构型参数/多目标优化/NSGA-2Key words
microgravity simulation platform/configuration parameters/multi-objective optimization/NSGA-2分类
机械制造引用本文复制引用
邹上元,刘海瑞,蒋延杰,刘艳梨,吴洪涛..六维微重力模拟平台构型参数的多目标优化[J].南京理工大学学报（自然科学版）,2019,43(2):147-153,7.基金项目
江苏省高等学校自然科学研究项目( 17KJB460003) （ 17KJB460003）
国家自然科学基金( 51375230 （）
51705243) （）
江苏省自然科学基金( BK20170783 （）
BK20170315) （）
