Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/246
Title: A novel method of designing LVDT using artificial neural network
Authors: Mishra, S K
Panda, G
Das, D P
Pattanaik, S K
Meher, M R
Keywords: differential transformers
digital simulation
electric sensing devices
neural nets
Issue Date: 2005
Publisher: IEEE
Citation: Proceedings of 2005 International Conference on Intelligent Sensing and Information Processing, 4-7 January, Chennai P 223-227
Abstract: This paper proposes a simple and novel method of designing and developing LVDT based sensing system. Conventionally, precise adjustment of windings is made to enhance the linearity range of LVDT. The tedious job of pitch adjustment of windings of LVDT can be overcome by use of the proposed method. Functional link artificial neural network has been successfully used in the paper for nonlinear compensation of LVDT. The effectiveness of the proposed method is demonstrated through computer simulation with the experimental data of a simple LVDT. The complete algorithm with practical set-up for development of LVDT is presented in the paper.
Description: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE
URI: http://hdl.handle.net/2080/246
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
skmishra-conf-2005.pdf218.6 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.