Browsing by Subject "dynamic errors correction"

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Access status: Open Access ,
Analytical and neural correctors of temperature sensors dynamic errors
(Wydawnictwa AGH, 2010) Jackowska-Strumiłło, Lidia
The paper presents comparison of analytical and neural correctors of temperature sensors dynamic errors. Classical serial correction method using convolution equation is described and also ARX {AutoRegressive with eXogenous variables) model of the corrector is developed. A new correction method by means of Artificial Neural Networks (ANNs), in which an inverse dynamic model of the sensor is implemented by a neural corrector is proposed. Feedforward multilayer ANNs and a moving window method are applied. The described correction techniques are evaluated experimentally for two platinum resistance temperature detectors in sheath, immersed in water. In these working conditions, i.e. for which sensor's dynamic properties can be approximated by linear model the best corrector's performances and the shortest correction time t0,05 are achieved for the ARX corrector with digital moving average filter after the corrector. The results for the neural correctors are only slightly worse, but comparable. However, for the systems without filtering the best corrector's performances are achieved for the neural correctors. Obtained results indicate that the ANN-based method is less sensitive to noise interferences.