Adaptive sigmoidal molten metal pouring control

Author

Tabatabaei, Emad ; Guez, Allon ; Choi, Hyuntae

Author_Institution

Inductotherm Corp., Rancocas, NJ, USA

Volume

6

Issue

2

fYear

1998

fDate

3/1/1998 12:00:00 AM

Firstpage

270

Lastpage

280

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

Keywords

adaptive control; computer vision; identification; learning systems; metallurgical industries; neurocontrollers; nonlinear control systems; process control; PID control; VISIPOUR; adaptive control; computer vision; identification; learning control; modeling; neural networks; nonlinear control systems; process control; sigmoidal molten metal pouring; vision-based control; Adaptive control; Automatic control; Casting; Control systems; Electrical equipment industry; Process control; Production; Programmable control; Servomechanisms; Three-term control;

fLanguage

English

Journal_Title

Control Systems Technology, IEEE Transactions on

Publisher

ieee

ISSN

1063-6536

Type

jour

DOI

10.1109/87.664193

Filename

664193