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厦门大学 [1]
长春光学精密机械与物... [1]
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学位论文 [1]
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2011 [2]
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Double inverted pendulum control based on three-loop PID and improved BP neural network (EI CONFERENCE)
会议论文
2011 2nd International Conference on Digital Manufacturing and Automation, ICDMA 2011, August 5, 2011 - August 7, 2011, Zhangjiajie, Hunan, China
Sang Y.
;
Fan Y.
;
Liu B.
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提交时间:2013/03/25
To deal with the defects of BP neural networks used in balance control of inverted pendulum
such as longer train time and converging in partial minimum
this article reaLizes the control of double inverted pendulum with improved BP algorithm of artificial neural networks(ANN)
builds up a training model of test simulation and the BP network is 6-10-1 structure. Tansig function is used in hidden layer and PureLin function is used in output layer
LM is used in training algorithm. The training data is acquried by three-loop PID algorithm. The model is learned and trained with Matlab calculating software
and the simuLink simulation experiment results prove that improved BP algorithm for inverted pendulum control has higher precision
better astringency and lower calculation. This algorithm has wide appLication on nonLinear control and robust control field in particular. 2011 IEEE.
多晶硅太阳电池制绒和隐性缺陷的电致发光检测
学位论文
2011, 2011
李艳华
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提交时间:2016/02/14
多晶硅太阳电池
低成本
制绒
隐性缺陷
电致发光
Multicrystalline silicon solar cells
Low-cost
Texturing
Hidden defects
Electroluminescence
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