基于神经网络的压电级自适应控制器设计

2012 IEEE International Conference on Automation and Logistics Pub Date : 2012-09-20 DOI:10.1109/ICAL.2012.6308225

Dong Zhang, Chengjin Zhang, Zhen Qin, Qiang Wei, Suzhen Wang, Limin Quan

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引用次数: 1

摘要

采用双s型激活函数对BP神经网络进行改进，建立压电级在线辨识模型。然后基于在线辨识模型，设计了神经网络模型参考自适应控制器，实现了压电工作台微纳定位的高精度跟踪。实验结果表明了该控制方案的有效性。

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Adaptive controller design of piezo-stage base on neural networks

Double sigmoid activation function is adopted to improve the BP neural networks to build the piezo-stage's on-line identification model. Then based on the on-line identification model, a neural networks model reference adaptive controller is designed to realize the piezo-stage's high accuracy tracking for micro/nanopositioning. Some experiment has been done to indicate the validity of the control scheme.

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2012 IEEE International Conference on Automation and Logistics

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