NDLI: Adaptive Self-Calibration Algorithm for Smart Sensors Linearization

Content Provider	IEEE Xplore Digital Library
Author	Dias Pereira, J.M. Postolache, O. Silva Girao, P.
Copyright Year	2004
Description	Author affiliation: Escola Superior de Tecnologia de Setubal, Inst. Politecnico de Setubal (Dias Pereira, J.M.; Postolache, O.)
Abstract	Calibration and linearization are two important topics that must always be considered to assure measurement system's accuracy. Measurement errors, namely offset, gain and linearization errors, can be compensated as long as timely calibration routines are performed in the measurement system. Nowadays, with the advent of smart sensors, the new capabilities associated with microprocessor or microcontroller devices can support new and advanced calibration and self-calibration algorithms that contribute to increase measurement's accuracy. In the present paper an adaptive self-calibration algorithm for smart sensors' linearization is proposed which takes into consideration the probability density function of the measurement data in order to reduce the number of calibration points, and associated calibration time, for a required level of accuracy. The progressive polynomial interpolation method is considered in order to preserve the values of calibration coefficients, already evaluated for previous calibration points, without starting the algorithmic calculation of a new set of the calibration coefficients for each new additional calibration point. Some simulations and an experimental result, for a square root characteristic of a venturi type airflow transducer, will be presented in order to validate theoretical expectations
Starting Page	648
Ending Page	652
File Size	122539
Page Count	5
File Format	PDF
ISBN	0780388798
DOI	10.1109/IMTC.2005.1604197
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-05-16
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent sensors Calibration Measurement errors Performance gain Performance evaluation Gain measurement Microprocessors Microcontrollers Probability density function Density measurement linearization smart sensors calibration accuracy
Content Type	Text
Resource Type	Article

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