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 language | English |
|---|---|
| Pages (from-to) | 595-599 |
| Number of pages | 5 |
| Journal | Proceedings of the American Control Conference |
| Volume | 1 |
| Publication status | Published - 1997 |
| Externally published | Yes |
| Event | Proceedings of the 1997 American Control Conference. Part 3 (of 6) - Albuquerque, NM, USA Duration: Jun 4 1997 → Jun 6 1997 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
Fingerprint
Dive into the research topics of 'Estimation of the weight distribution function of a complex object for portion control in an innovative can filling system'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS