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Related Experiment Videos

Embedded model control: application to web winding.

Enrico Canuto1, Fabio Musso

  • 1Politecnico di Torino, Dipartimento di Automatica e Informatica, Corso Duca degli Abruzzi 24, 10129 Torino, Italy. enrico.canuto@polito.it

ISA Transactions
|April 10, 2007
PubMed
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Embedded Model Control (EMC) addresses web-winding challenges by using adaptive control laws and disturbance estimators. This method ensures robust stability and performance despite varying conditions and vibrations.

Area of Science:

  • Control Systems Engineering
  • Robotics and Automation
  • Mechanical Engineering

Background:

  • Web-winding systems present complex control challenges due to time-varying parameters like winder radius.
  • Disturbances such as friction, variable web speed, and vibrations impact system performance.
  • Accurate estimation of reel radius and robust stability are crucial for effective web handling.

Purpose of the Study:

  • To apply the Embedded Model Control (EMC) methodology to solve key issues in web-winding control.
  • To design a time-varying control law with disturbance rejection capabilities.
  • To develop noise estimators for accurate disturbance and radius estimation, ensuring robust stability and performance.

Main Methods:

  • Implementation of a time-varying Embedded Model and adaptive control law.

Related Experiment Videos

  • Design of disturbance estimators for friction and variable web speed compensation.
  • Sensorless reel radius estimation techniques.
  • Tuning of eigenvalues using an 'error loop' formulation for stability and performance.

    • Main Results:

    • The EMC methodology effectively addresses time-varying parameters and disturbances in web-winding.
    • Achieved sensorless reel radius estimation and robust stability in the presence of vibrations.
    • Simulated results demonstrate the effectiveness of the proposed control strategy.

    Conclusions:

    • Embedded Model Control provides a robust framework for addressing complex web-winding control problems.
    • The proposed approach enhances stability and performance by integrating disturbance rejection and accurate estimation.
    • This methodology offers a viable solution for industrial web handling applications.