Laser Beam Pointing Control With Piezoelectric Actuator Model Learning
Zhang Dapeng(张大朋)
2017-09
发表期刊IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS
期号1页码:1-11
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.
关键词Laser Beam Pointing Control Model Learning Piezoelectric Actuator (Pea) Support Vector Machines (Svms)
文献类型期刊论文
条目标识符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
推荐引用方式
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Zhang Dapeng. Laser Beam Pointing Control With Piezoelectric Actuator Model Learning[J]. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS,2017(1):1-11.
APA Zhang Dapeng.(2017).Laser Beam Pointing Control With Piezoelectric Actuator Model Learning.IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS(1),1-11.
MLA Zhang Dapeng."Laser Beam Pointing Control With Piezoelectric Actuator Model Learning".IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS .1(2017):1-11.
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