Multi-Stage Rolling Mill Process, Part 1: Modeling and Control of Strip Thickness and Speed

From the series: Simulating a Multi-Stage Rolling Mill Process

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Alec Stothert, MathWorks
Rohit Shenoy, MathWorks

This is the first in a three-part webinar series that will highlight the use of MathWorks products for modeling and control of a multi-stage rolling mill process. In this webinar MathWorks engineers demonstrate the benefits of using Simulink as a platform for modeling and control system design for a sheet-metal-rolling application. The webinar will explore multidomain modeling involving the complex interaction of mechanical, electrical, and hydraulic systems. Viewers will learn how easy it is to perform PID control design using linear analysis methods.

Product Focus

  • Simulink
  • Simulink Control Design
  • Control System Toolbox
  • Simulink Design Optimization

Recorded: 17 Dec 2009

Series: Simulating a Multi-Stage Rolling Mill Process

Multi-Stage Rolling Mill Process, Part 1: Modeling and Control of Strip Thickness and Speed  63:29
In this webinar MathWorks engineers demonstrate the benefits of using Simulink as a platform for modeling and control system design for a sheet-metal-rolling application.

Multi-Stage Rolling Mill Process, Part 2: Tension Modeling and Simulation  17:11
In this particular webinar you will learn how to use MathWorks products to model the looper-strip interaction for tension control.

Multi-Stage Rolling Mill Process, Part 3: Tension Control  17:08
In this webinar, you will learn how to design PID controllers for managing tension in a multistage rolling mill process.