Estimation of the weight distribution function of a complex object for portion control in an innovative can filling system

F. Omar, C. W. de Silva

Research output: Contribution to journalConference articlepeer-review

4 Citations (Scopus)

Abstract

An innovative can filling system is presented. The system employs a set of representative models developed by off-line sensing of weight distribution and sectional variation functions and a set of measurable geometric features. An intelligent decision making system matches on-line measurements of object features to a corresponding model that has the necessary information for cutting the object. Optimal portion control is achieved by overlapping the fish at a variable separation and cutting at fixed intervals of blade separation. A numerical example illustrates that optimal overlapping can produce significant economic advantage.

Original languageEnglish
Pages (from-to)595-599
Number of pages5
JournalProceedings of the American Control Conference
Volume1
Publication statusPublished - Jan 1 1997
Externally publishedYes
EventProceedings of the 1997 American Control Conference. Part 3 (of 6) - Albuquerque, NM, USA
Duration: Jun 4 1997Jun 6 1997

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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