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	Infrared thermometer sensor dynamic error compensation using Hammerstein neural network
	Wu, Dehui ; Huang, Songling ; Zhao, Wei ; Xin, Junjun
	2010-10-12 ; 2010-10-12
关键词	Infrared thermometer sensor Hammerstein model Neural network Dynamic compensation TEMPERATURE ESTIMATION INDUCTION-MOTORS IDENTIFICATION SYSTEMS STATOR MODEL Engineering, Electrical & Electronic Instruments & Instrumentation
中文摘要	A novel dynamic neural network structure based on Hammerstein model is proposed and applied to dynamic error compensation for infrared thermometer sensor in this paper. First, the devices of dynamic calibration for infrared thermometer sensor are designed and the calibration experiments with continuous excitation are carried out. Then, the non-linear inverse system of the sensor dynamic compensator is expressed by a non-linear static subunit followed by a linear dynamic subunit-Hammerstein model. A novel neural network structure is designed, the weights in which are corresponding with the parameters of Hammerstein model. Finally, The iterative algorithm is derived, through which the non-linear static and linear dynamic subunit in Hammerstein model can be optimised and the coefficients of the dynamic compensator are gotten. The dynamic calibration data of the uIRt/c sensor are used to test and the experiment results show that the stabilizing time of the sensor is reduced less than 6 ms from 26 ms and the dynamic characteristic is obviously improved after compensation. (C) 2008 Elsevier B.V. All rights reserved.
语种	英语 ; 英语
出版者	ELSEVIER SCIENCE SA ; LAUSANNE ; PO BOX 564, 1001 LAUSANNE, SWITZERLAND
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/78776]
专题	清华大学
推荐引用方式 GB/T 7714	Wu, Dehui,Huang, Songling,Zhao, Wei,et al. Infrared thermometer sensor dynamic error compensation using Hammerstein neural network[J],2010, 2010.
APA	Wu, Dehui,Huang, Songling,Zhao, Wei,&Xin, Junjun.(2010).Infrared thermometer sensor dynamic error compensation using Hammerstein neural network..
MLA	Wu, Dehui,et al."Infrared thermometer sensor dynamic error compensation using Hammerstein neural network".(2010).

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