Publication detail

PARAMETER ESTIMATION FOR ENGINEERS: A NEW TOOL FOR EFFECTIVE SEARCH FOR SIMULINK MODEL PARAMETERS

APPEL, M. GREPL, R.

Original Title

PARAMETER ESTIMATION FOR ENGINEERS: A NEW TOOL FOR EFFECTIVE SEARCH FOR SIMULINK MODEL PARAMETERS

English Title

PARAMETER ESTIMATION FOR ENGINEERS: A NEW TOOL FOR EFFECTIVE SEARCH FOR SIMULINK MODEL PARAMETERS

Type

conference paper

Language

en

Original Abstract

An estimation of Simulink model parameters is very important problem in field of system identification in mechatronics. This paper describes features and advantages of the New Parameter Estimation Tool developed with respect to particular engineering needs. Among other things, the tool allows to use the arbitrary combination of a model and a measured data for the construction of cost function of the optimization process. This enables to formulate various tasks briefly outlined in this paper including comparison of several candidate models or performing estimations of models with shared parameters. Furthermore, all temporary simulation results are stored and later can be browsed and viewed by user. This enables to get very clear visual insight into the estimation problem and especially increases the usefulness of the Brute force method use. Finally, the tool allows to cope actively with the problem of initial guesses of an optimization method. As a result, user can automate and control parameter estimations for time-consuming and demanding problems

English abstract

An estimation of Simulink model parameters is very important problem in field of system identification in mechatronics. This paper describes features and advantages of the New Parameter Estimation Tool developed with respect to particular engineering needs. Among other things, the tool allows to use the arbitrary combination of a model and a measured data for the construction of cost function of the optimization process. This enables to formulate various tasks briefly outlined in this paper including comparison of several candidate models or performing estimations of models with shared parameters. Furthermore, all temporary simulation results are stored and later can be browsed and viewed by user. This enables to get very clear visual insight into the estimation problem and especially increases the usefulness of the Brute force method use. Finally, the tool allows to cope actively with the problem of initial guesses of an optimization method. As a result, user can automate and control parameter estimations for time-consuming and demanding problems

Keywords

Parameter estimation, Simulink, Optimization, Software tool.

Released

18.05.2017

Publisher

Institute of Solid Mechanics, Mechatronics and Biomechanics, Faculty of Mechanical Engineering, Brno University of Technology

Location

Brno

ISBN

978-80-214-5497-2

Book

ENGINEERING MECHANICS 2017

Edition

2017

Pages from

90

Pages to

93

Pages count

1150

URL

Documents

BibTex


@inproceedings{BUT136310,
  author="Martin {Appel} and Robert {Grepl}",
  title="PARAMETER ESTIMATION FOR ENGINEERS: A NEW TOOL FOR EFFECTIVE SEARCH FOR SIMULINK MODEL PARAMETERS",
  annote="An estimation of Simulink model parameters is very important problem in field of system
identification in mechatronics. This paper describes features and advantages of the New Parameter
Estimation Tool developed with respect to particular engineering needs. Among other things, the tool allows
to use the arbitrary combination of a model and a measured data for the construction of cost function of the
optimization process. This enables to formulate various tasks briefly outlined in this paper including
comparison of several candidate models or performing estimations of models with shared parameters.
Furthermore, all temporary simulation results are stored and later can be browsed and viewed by user. This
enables to get very clear visual insight into the estimation problem and especially increases the usefulness of
the Brute force method use. Finally, the tool allows to cope actively with the problem of initial guesses of an
optimization method. As a result, user can automate and control parameter estimations for time-consuming
and demanding problems",
  address="Institute of Solid Mechanics, Mechatronics and Biomechanics, Faculty of Mechanical Engineering, Brno University of Technology",
  booktitle="ENGINEERING MECHANICS 2017",
  chapter="136310",
  edition="2017",
  howpublished="print",
  institution="Institute of Solid Mechanics, Mechatronics and Biomechanics, Faculty of Mechanical Engineering, Brno University of Technology",
  year="2017",
  month="may",
  pages="90--93",
  publisher="Institute of Solid Mechanics, Mechatronics and Biomechanics, Faculty of Mechanical Engineering, Brno University of Technology",
  type="conference paper"
}