trackingerrorreductionincncmachiningbyreshapingthekinematictrajectory

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	trackingerrorreductionincncmachiningbyreshapingthekinematictrajectory
	Guo Jianxin 1; Zhang Qiang 2; Gao Xiaoshan1
	2013
发表期刊	journalofsystemsscienceandcomplexity
ISSN	1009-6124
卷号	26 期号:5 页码:817
摘要	In this paper, a method of reducing the tracking error in CNC machining is proposed. The structured neural network is used to approximate the discontinuous friction in CNC machining, which has jump points and uncertainties. With the estimated nonlinear friction function, the reshaped trajectory can be computed from the desired one by solving a second order ODE such that when the reshaped trajectory is fed into the CNC controller, the output is the desired trajectory and the tracking error is eliminated in certain sense. The proposed reshape method is also shown to be robust with respect to certain parameters of the dynamic system.
语种	英语
资助项目	[National Key Basic Research Project of China] ; [USA NSF] ; [Foundation of UPC for the Author of National Excellent Doctoral Dissertation]
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/36141
专题	系统科学研究所
作者单位	1.中国科学院数学与系统科学研究院 2.中国石油大学
推荐引用方式 GB/T 7714	Guo Jianxin,Zhang Qiang,Gao Xiaoshan. trackingerrorreductionincncmachiningbyreshapingthekinematictrajectory[J]. journalofsystemsscienceandcomplexity,2013,26(5):817.
APA	Guo Jianxin,Zhang Qiang,&Gao Xiaoshan.(2013).trackingerrorreductionincncmachiningbyreshapingthekinematictrajectory.journalofsystemsscienceandcomplexity,26(5),817.
MLA	Guo Jianxin,et al."trackingerrorreductionincncmachiningbyreshapingthekinematictrajectory".journalofsystemsscienceandcomplexity 26.5(2013):817.