Virtual Reference Feedback Tuning of Internal Model Controllers

Simone Formentin; Matteo Corno; Sergio Savaresi; Luigi Del Re

doi:10.1109/CDC.2010.5718027

Virtual Reference Feedback Tuning of Internal Model Controllers

Simone Formentin
, Matteo Corno
, Sergio Savaresi
, Luigi Del Re

Institute of Design and Control of Mechatronical Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

This paper proposes a model-free control-design methodology for IMC (Internal-Model-Controller) schemes. The idea is based on the virtual reference approach and it guarantees good performance in the regulation of processes characterized by either strong dead-time phenomena or high relative degrees in the discrete-time domain. The proposed technique is tested on a critical vehicle dynamics example, where it is also compared with the classical VRFT approach. Effectiveness of the methodology is illustrated also in case of small errors in the delay estimate.

Original language	English
Title of host publication	Proceedings of the 49th IEEE Conference on Decision and Control
Pages	5542-5547
Number of pages	6
DOIs	https://doi.org/10.1109/CDC.2010.5718027
Publication status	Published - 2010

Fields of science

203 Mechanical Engineering
202034 Control engineering
202012 Electrical measurement technology
206 Medical Engineering
202027 Mechatronics
202003 Automation
203027 Internal combustion engines
207109 Pollutant emission

JKU Focus areas

Mechatronics and Information Processing

Access to Document

10.1109/CDC.2010.5718027

Cite this

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title = "Virtual Reference Feedback Tuning of Internal Model Controllers",

abstract = "This paper proposes a model-free control-design methodology for IMC (Internal-Model-Controller) schemes. The idea is based on the virtual reference approach and it guarantees good performance in the regulation of processes characterized by either strong dead-time phenomena or high relative degrees in the discrete-time domain. The proposed technique is tested on a critical vehicle dynamics example, where it is also compared with the classical VRFT approach. Effectiveness of the methodology is illustrated also in case of small errors in the delay estimate.",

author = "Simone Formentin and Matteo Corno and Sergio Savaresi and \{Del Re\}, Luigi",

year = "2010",

doi = "10.1109/CDC.2010.5718027",

language = "English",

isbn = "9781424477456",

pages = "5542--5547",

booktitle = "Proceedings of the 49th IEEE Conference on Decision and Control",

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AU - Formentin, Simone

AU - Corno, Matteo

AU - Savaresi, Sergio

AU - Del Re, Luigi

PY - 2010

Y1 - 2010

N2 - This paper proposes a model-free control-design methodology for IMC (Internal-Model-Controller) schemes. The idea is based on the virtual reference approach and it guarantees good performance in the regulation of processes characterized by either strong dead-time phenomena or high relative degrees in the discrete-time domain. The proposed technique is tested on a critical vehicle dynamics example, where it is also compared with the classical VRFT approach. Effectiveness of the methodology is illustrated also in case of small errors in the delay estimate.

AB - This paper proposes a model-free control-design methodology for IMC (Internal-Model-Controller) schemes. The idea is based on the virtual reference approach and it guarantees good performance in the regulation of processes characterized by either strong dead-time phenomena or high relative degrees in the discrete-time domain. The proposed technique is tested on a critical vehicle dynamics example, where it is also compared with the classical VRFT approach. Effectiveness of the methodology is illustrated also in case of small errors in the delay estimate.

UR - https://www.scopus.com/pages/publications/79953132803

U2 - 10.1109/CDC.2010.5718027

DO - 10.1109/CDC.2010.5718027

M3 - Conference proceedings

SN - 9781424477456

SP - 5542

EP - 5547

BT - Proceedings of the 49th IEEE Conference on Decision and Control

ER -

Virtual Reference Feedback Tuning of Internal Model Controllers

Abstract

Fields of science

JKU Focus areas

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Cite this