Performance Optimization of a 2-DoF Parallel Mechanism based on Multiple Indices

被引：0

作者：

Hao, Qi ^{[1
]}

Liu, Bo ^{[1
]}

Wang, Mingxin ^{[1
]}

Zhou, Jing ^{[2
]}

机构：

[1] Inst Army Aviat, Dept Aviat Mech Engn, Beijing 101123, Beijing Provinc, Peoples R China

[2] Beijing Aerosp Measurement & Control Technol Co L, Beijing 100041, Beijing Provinc, Peoples R China

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION | 2016年

关键词：

Parallel mechanism; performance optimization; global conditioning index; comprehensive acceleration ellipsoid; genetic algorithm; DESIGN;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to optimize the kinematic and dynamic performance of a 2-DoF planar parallel mechanism used in hybrid machines, a multi-objective optimization method is introduced. Based on the compare of the common kinematic analysis method and dynamic analysis method, the kinematic and dynamic performances evaluation indices which can be used in the performance optimization are introduced. Then a multi indices optimization method based on genetic algorithm is investigated to achieve the multi performance optimization of the parallel mechanism. In the optimization method, the kinematic, stiffness and dynamic performances are improved by optimizing the geometric and structural parameters of the parallel mechanism. The simulation result indicates that the optimization method is of practical value to improve the development of the parallel mechanism.

引用

页码：1250 / 1255

页数：6

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