Journal article
Adaptive sigmoidal molten metal pouring control
IEEE transactions on control systems technology, v 6(2), pp 270-280
Mar 1998
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We present a new adaptive nonlinear controller for vision-based molten metal automatic pouring. We describe the challenges, modeling, identification, and control of the process. Attempts to employ proportional integral (PI) and proportional integral derivative (PID) controllers were partially successful. An adaptive sigmoidal controller improved the control quality due to its variable gain and bias. The design has been successfully implemented by the Inductotherm Corp. in a new automatic pouring system named VISIPOUR.
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Details
- Title
- Adaptive sigmoidal molten metal pouring control
- Creators
- E Tabatabaei - Inductotherm Corp., Rancocas, NJ, USAA Guez - Drexel UniversityH Choi - Drexel University
- Publication Details
- IEEE transactions on control systems technology, v 6(2), pp 270-280
- Publisher
- IEEE
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000072217700014
- Scopus ID
- 2-s2.0-0032026261
- Other Identifier
- 991019173579204721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Automation & Control Systems
- Engineering, Electrical & Electronic