The University of Southampton
University of Southampton Institutional Repository

Application of exploratory modelling to active headrest control

Application of exploratory modelling to active headrest control
Application of exploratory modelling to active headrest control
A new technique of iterative modelling and controller tuning is presented and its applicability demonstrated on a model of an active headrest which attenuates the ambient noise for the comfort of a passenger. The underlying scheme relies on internal model control (IMC) which is shown to have self-excitation for identification for control. Application of IMC creates synergy of identification and control and models tuned for control can bring enhanced and more reliable performance. The allowed gain error (AGE) is used which is compared with model uncertainty to form a criterion of modelling for control. This modelling criterion quantifies the maximum violation of robust stability and performance robustness along the frequency axes, as such it is a criterion of modelling for control. The new scheme is called exploratory modelling for controller optimization (EMCO) and its objective is to obtain simple robust controllers. The EMCO scheme can be used both onand off-line.
internal model control, system identification, adaptive control, robust control
3936-3941
Veres, S.M.
909c60a0-56a3-4eb6-83e4-d52742ecd304
Tan, A.C.H.
9dc5855f-02ef-4159-8ece-02afdb9d5eea
Meurers, T.
affec6e8-cd07-4350-ab2c-975071e0c3a2
Aglietti, G.
611b1de0-c505-472e-a03f-c5294c63bb72
Veres, S.M.
909c60a0-56a3-4eb6-83e4-d52742ecd304
Tan, A.C.H.
9dc5855f-02ef-4159-8ece-02afdb9d5eea
Meurers, T.
affec6e8-cd07-4350-ab2c-975071e0c3a2
Aglietti, G.
611b1de0-c505-472e-a03f-c5294c63bb72

Veres, S.M., Tan, A.C.H., Meurers, T. and Aglietti, G. (2003) Application of exploratory modelling to active headrest control. 42nd IEEE Conference on Decision and Control, United States. 09 - 12 Dec 2003. pp. 3936-3941 .

Record type: Conference or Workshop Item (Paper)

Abstract

A new technique of iterative modelling and controller tuning is presented and its applicability demonstrated on a model of an active headrest which attenuates the ambient noise for the comfort of a passenger. The underlying scheme relies on internal model control (IMC) which is shown to have self-excitation for identification for control. Application of IMC creates synergy of identification and control and models tuned for control can bring enhanced and more reliable performance. The allowed gain error (AGE) is used which is compared with model uncertainty to form a criterion of modelling for control. This modelling criterion quantifies the maximum violation of robust stability and performance robustness along the frequency axes, as such it is a criterion of modelling for control. The new scheme is called exploratory modelling for controller optimization (EMCO) and its objective is to obtain simple robust controllers. The EMCO scheme can be used both onand off-line.

Full text not available from this repository.

More information

Published date: 2003
Venue - Dates: 42nd IEEE Conference on Decision and Control, United States, 2003-12-09 - 2003-12-12
Keywords: internal model control, system identification, adaptive control, robust control

Identifiers

Local EPrints ID: 22490
URI: http://eprints.soton.ac.uk/id/eprint/22490
PURE UUID: 52ccd3d2-f0fa-48f3-86f3-0d05cc6fe7cf
ORCID for G. Aglietti: ORCID iD orcid.org/0000-0003-0179-9398

Catalogue record

Date deposited: 30 May 2006
Last modified: 20 Jul 2019 01:23

Export record

Contributors

Author: S.M. Veres
Author: A.C.H. Tan
Author: T. Meurers
Author: G. Aglietti ORCID iD

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×