NDLI: Fuzzy logic estimator for dynamic weighing system

Content Provider	IEEE Xplore Digital Library
Author	Halimic, M. Balachandran, W. Enab, Y.
Copyright Year	1996
Description	Author affiliation: Dept. of Manuf. & Eng. Syst., Brunel Univ., Uxbridge, UK (Halimic, M.)
Abstract	In the area of mass production, products are weighed using load cell based dynamic weighing systems. A load cell is an uncontrollable weighing device and the value of weight, for the passing product, is estimated by filtering the electrical signal from a load cell. Improvement in filtering increases the speed of weighing and enhances the measurement accuracy. In this paper a fuzzy logic estimator is proposed as weight filter for the dynamic weighing system. The structure of a fuzzy model is identified by the concept of fuzzy space clustering. The input-output space is clustered using a fuzzy C-means clustering scheme. Afterwards, the components of the centroid vectors of each cluster are moved onto the axes of their own coordinates and then the membership functions are formed on the basis that the triangle base is twice the standard deviation of the data set. In this way the fuzzy rules have been chosen in an optimal manner. The results achieved show that unconventional method of filtering fuzzy logic estimator may provide computationally effective alternative to the conventional method.
Starting Page	2123
Ending Page	2129
File Size	705104
Page Count	7
File Format	PDF
ISBN	0780336453
DOI	10.1109/FUZZY.1996.552791
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-09-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Finite impulse response filter Low pass filters Nonlinear filters Filtering Packaging machines Belts Mass production Velocity measurement Weight control
Content Type	Text
Resource Type	Article

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