收稿日期: 2016-05-17
修回日期: 2016-09-14
网络出版日期: 2016-12-31
基金资助
国家科技重大专项项目( 20152ZX04005006) ; 广东省科技计划项目( 2014B090921004, 2015B010918002) ; 广州市产学研协同创新重大专项项目( 201505031617224)
An Adaptive Force Control Algorithm for Robotic Surface Machining
Received date: 2016-05-17
Revised date: 2016-09-14
Online published: 2016-12-31
Supported by
Supported by the National Science and Technology Major Project of China( 20152X04005006) and the Science and Technology Planning Project of Guangdong Province,China( 2014B090921004, 2015B010918002)
关键词: 曲面切削; 切削质量; 进给速度; 机器人形变; 模糊PID 力控制模型
陈首彦 张铁 . 一种自适应的机器人曲面切削力控制算法[J]. 华南理工大学学报(自然科学版), 2017 , 45(2) : 59 -65 . DOI: 10.3969/j.issn.1000-565X.2017.02.009
In order to improve the quality of robotic surface machining,deferent robotic machining states are analyzed,and an adaptive force control scheme? is presented.In the investigation,first,the effects of robot stiffness and feed rate on the machining quality are explored,and a machining kinetic model including both impact part and stable grinding part is constructed.Next,a fuzzy PID-based force control model is established according to the relationship between the machining deformation and the feed rate.Then,the machining deformation is calculated according the force feedback,and the machining quality is controlled by adjusting the feed rate in real time.Finally,the proposed method,the open-loop method and the PID control method are compared,and the results show that the fuzzy PID-based surface force control method helps implement high-precision surface machining force control because it can effectively decrease the amplitude of rigid force fluctuation and impact force value.
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