Title :
A novel method of designing LVDT using artificial neural network
Author :
Mishra, Saroj Kumar ; Panda, Ganapati ; Das, Debi Prasad ; Pattanaik, Sunil Kumar ; Meher, Manas Ranjan
Author_Institution :
Dept. of Electron. & Instrum. Eng., Nat. Inst. of Technol., Rourkela, India
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.
Keywords :
differential transformers; digital simulation; electric sensing devices; neural nets; power engineering computing; transformer windings; LVDT based sensing system; artificial neural network; computer simulation; linear variable differential transformer; transformer windings; Artificial neural networks; Coils; Control systems; Design methodology; Linearity; Machine windings; Nonlinear control systems; Sensor phenomena and characterization; Sensor systems; Silicon;
Conference_Titel :
Intelligent Sensing and Information Processing, 2005. Proceedings of 2005 International Conference on
Print_ISBN :
0-7803-8840-2
DOI :
10.1109/ICISIP.2005.1529452