Laser Beam Pointing Control With Piezoelectric Actuator Model Learning
文献类型:期刊论文
作者 | Fangbo Qin1,2![]() ![]() ![]() ![]() ![]() |
刊名 | IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS
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出版日期 | 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 |
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. |
入库方式: OAI收割
来源:自动化研究所
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