Online implementation of an adaptive calibration technique fordis placement measurement using LVDT

Santhosh, K V and Roy, B K (2017) Online implementation of an adaptive calibration technique fordis placement measurement using LVDT. Applied Soft Computing, 53 (1). pp. 19-26. ISSN 1568-4946

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tThe paper presents the design and validation of an online intelligent displacement measurement tech-nique with Linear Variable Differential Transformer (LVDT) using Artificial Neural Network (ANN). Theobjectives of the proposed work are to design a calibration technique using an optimised neural networkmodel such that it a) produces an output which is linear for the full scale of input range, b) makes the out-put independent of the variations in supply frequency, the physical parameters of the LVDT, and ambienttemperature. The output of an LVDT is converted to a DC signal by using a rectifier circuit. The rectifiedoutput is further amplified using a differential amplifier. This voltage signal is acquired onto a computerfor further processing using an ANN. The optimisation of the ANN is carried out to find the minimumnumber of hidden layers along with the number of neurones in each layer to give least Mean Square Error(MSE) and Regression (R) nearing to one. This optimisation is done considering various schemes of ANN,training algorithms, and the transfer function of neurones. Once the ANN model is designed, it is sub-jected to test with both simulated data and experimental validation. The results confirm the successfulachievement of the objectives of this paper and thus avoiding the need for repeated calibration.

Item Type: Article
Uncontrolled Keywords: Artificial neural networks Nonlinear estimation LVDTSensor modeling Optimisationa
Subjects: Engineering > MIT Manipal > Instrumentation and Control
Depositing User: MIT Library
Date Deposited: 30 Jan 2017 13:26
Last Modified: 30 Jan 2017 13:26

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