首页   按字顺浏览 期刊浏览 卷期浏览 A stochastic optimization of the production speed of robots based on measured geometric...
A stochastic optimization of the production speed of robots based on measured geometric and nongeometric errors

 

作者: KEES. MOONf,   FARHAD AZADIVARJ,   KYUIL KIM,  

 

期刊: International Journal of Production Research  （Taylor Available online 1992）
卷期: Volume 30, issue 1  

页码: 49-62

 

ISSN:0020-7543

 

年代: 1992

 

DOI:10.1080/00207549208942877

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

A statistical model is established to estimate the effects of the geometric and nongeometric errors on the quality of the operation for various operating speeds. Furthermore, a stochasitc optimization problem is formulated to obtain the optimal operating speed for a given accuracy in the robotic operations. To demonstrate this approach, the experiments on a PUMA 560 robot are used as an example.

 

点击下载:  PDF (345KB)



返 回