Laser Beam Pointing Control With Piezoelectric Actuator Model Learning

doi:10.1109/TSMC.2017.2754863

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	Laser Beam Pointing Control With Piezoelectric Actuator Model Learning
	Fangbo Qin1,2 ; Zhang Dapeng(张大朋)1 ; Dengpeng Xing1 ; De Xu1,2 ; Jianquan Li1,2
刊名	IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS
	2017-09
期号	1 页码:1-11
关键词	Laser Beam Pointing Control Model Learning Piezoelectric Actuator (PEA) Support Vector Machines (SVMs)
DOI	10.1109/TSMC.2017.2754863
英文摘要	The inherent hysteresis property of piezoelectric actuator (PEA) brings challenges to its modeling and control. This paper proposes a model learning method that is suitable for both forward and inverse PEA models. The hysteresis property is learned based on least squares support vector machines (LS-SVMs). A larger dataset is used for training LS-SVM to guarantee a good generalization performance. Support vectors pruning is utilized to reduce the model complexity. The ratedependent property of PEA is identified as a linear dynamic submodel. Moreover, a pointing control system with two dual- PEA-axis steering mirrors is developed, which can regulate the 4-degree-of-freedom pose of a laser beam. The coordinated control of four PEAs is realized based on the Jacobian matrix. The learned inverse PEA models are used for the feedforward compensation of each PEA’s nonlinearity. A series of experiments were conducted to evaluate the proposed method’s effectiveness.
语种	英语
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/21711]
专题	精密感知与控制研究中心_精密感知与控制
通讯作者	De Xu
作者单位	1.中国科学院自动化研究所 2.中国科学院大学人工智能学院
推荐引用方式 GB/T 7714	Fangbo Qin,Zhang Dapeng,Dengpeng Xing,et al. Laser Beam Pointing Control With Piezoelectric Actuator Model Learning[J]. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS,2017(1):1-11.
APA	Fangbo Qin,Zhang Dapeng,Dengpeng Xing,De Xu,&Jianquan Li.(2017).Laser Beam Pointing Control With Piezoelectric Actuator Model Learning.IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS(1),1-11.
MLA	Fangbo Qin,et al."Laser Beam Pointing Control With Piezoelectric Actuator Model Learning".IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS .1(2017):1-11.