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Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

IMC based feedforward controller framework for disturbance attenuation on uncertain systems.

R Vilanova1, O Arrieta, P Ponsa

  • 1Departament de Telecomunicació i d'Enginyeria de Sistemes, Escola Tècnica Superior d'Enginyeria, ETSE, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain. Ramon.Vilanova@uab.cat

ISA Transactions
|July 28, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a robust feedforward controller design method based on Internal Model Control (IMC), extending its application to unstable systems and disturbance models for improved control performance.

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Last Updated: Jun 21, 2026

Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

Area of Science:

  • Control Engineering
  • Systems Theory

Background:

  • Internal Model Control (IMC) offers distinct advantages in handling nominal and uncertain system situations.
  • Designing robust feedforward controllers within the IMC framework presents unique challenges compared to feedback control.

Purpose of the Study:

  • To generalize the Internal Model Control (IMC) approach for feedforward control action generation.
  • To develop a systematic method for robust feedforward controller design that accounts for uncertainty.
  • To extend IMC applicability to systems and disturbance models that are unstable.

Main Methods:

  • Generalization of the Internal Model Control (IMC) framework.
  • Development of a systematic procedure for robust feedforward design.
  • Inclusion of unstable plant and disturbance models within the IMC paradigm.

Main Results:

  • A generalized IMC approach for feedforward control is presented.
  • The proposed method provides a systematic way to design robust feedforward controllers.
  • The generalization accommodates unstable plants and unstable disturbance models, overcoming a limitation of standard IMC.

Conclusions:

  • The presented generalization enhances the Internal Model Control (IMC) approach for feedforward control.
  • This work offers a robust and systematic design methodology for feedforward controllers, even in the presence of system and disturbance model instability.
  • The generalized IMC framework expands the applicability of IMC to a wider range of complex control problems.