High-speed weighing system based on DSP

Author

Calpe, J. ; Soria, E. ; Martinez, M. ; Frances, J.V. ; Rosado, A. ; Gomez-Chova, Luis ; Vila, J.

Author_Institution

Departament d´´Enginyeria Electronica, Valencia Univ., Spain

Volume

2

fYear

2002

fDate

5-8 Nov. 2002

Firstpage

1579

Abstract

This paper describes a new weighting sub-system for fruit sorting and grading machinery. Based on a fixed point DSP, it controls up to 10 lines at 20 fruit/second with an accuracy of ±1 gram. The system applies an adaptive filtering and a posterior deconvolution of the behaviour of the load sensor using an ARMA model. A final estimation procedure to obtain weight in grams is also described. The best results have been obtained with an ALMS algorithm for the adaptive filter.

Keywords

adaptive filters; balances; digital signal processing chips; least mean squares methods; 10-channel weight acquisition hardware; ARMA model; MAXSORTER; adaptive filtering; averaged least mean square algorithm; estimation procedure; fixed-point DSP; fruit grading machinery; fruit sorting machinery; high-speed weighing system; load sensor; posterior deconvolution; weighting sub-system; Adaptive filters; Deconvolution; Digital signal processing; Hardware; Instruments; Machinery; Rails; Random access memory; Sensor systems; Sorting;

fLanguage

English

Publisher

ieee

Conference_Titel

IECON 02 [Industrial Electronics Society, IEEE 2002 28th Annual Conference of the]

Print_ISBN

0-7803-7474-6

Type

conf

DOI

10.1109/IECON.2002.1185515

Filename

1185515