DocumentCode :
1585950
Title :
Kalman filter for dynamic weighing system
Author :
Halimic, M. ; Balachandran, W.
Author_Institution :
Dept. of Electron. & Electr. Eng., Surrey Univ., Guildford, UK
Volume :
2
fYear :
34881
Firstpage :
786
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 Kalman filter is proposed as a weight filter for the dynamic weighing system. Furthermore, the paper includes mathematical models of the load cell and forcing functions. These models are used to examine the suitability of the proposed Kalman filter approach. Since this approach is based on the accurate model of the system in question, the exact model of the load cell based dynamic weighing system has been derived and presented. For one particular value of the weight, the parameters of the model are time-varying due to the product coming onto the weigh-table and due to the product length. Changing the measurement from one value of the weight to another causes even greater changes in the values of the model parameters and introduces a nonlinearity in the system. Therefore an adaptivity approach has been considered and a solution proposed. The simulation and experimental results are presented and compared. The results achieved show that the Kalman filter may provide an effective alternative to the conventional method especially when the system is nonlinear and low frequency noise is incorporated in the bandwidth of the useful signal
Keywords :
Kalman filters; filtering theory; signal processing; weighing; Kalman filter; adaptivity approach; dynamic weighing system; filtering; forcing functions; load cell based dynamic weighing systems; low frequency noise; mass production; mathematical models; measurement accuracy; nonlinear system; time-varying parameters; uncontrollable weighing device; weight filter; Belts; Filtering; Filters; Frequency; Mass production; Mathematical model; Packaging machines; Scanning probe microscopy; Signal processing; Velocity measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 1995. ISIE '95., Proceedings of the IEEE International Symposium on
Conference_Location :
Athens
Print_ISBN :
0-7803-7369-3
Type :
conf
DOI :
10.1109/ISIE.1995.497286
Filename :
497286
Link To Document :
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