Publication detail

The fuzzy controller tuning- A simulation approach

JURA, P.

Original Title

The fuzzy controller tuning- A simulation approach

English Title

The fuzzy controller tuning- A simulation approach

Type

conference paper

Language

en

Original Abstract

Various types of low-loss helium cryostat are used for NMR superconducting magnets. The low-loss helium cryostat was identified as a nonlinear system. The model of the system was created and a fuzzy controller was added to the close loop. The simulation of the control process was made and the parameters of the fuzzy controller were found. These parameters were transferred to the real fuzzy controller and the real control process proved a good correspondence between simulation and real experiment. The fuzzy controller for pressure control of a low-loss helium cryostat is described.

English abstract

Various types of low-loss helium cryostat are used for NMR superconducting magnets. The low-loss helium cryostat was identified as a nonlinear system. The model of the system was created and a fuzzy controller was added to the close loop. The simulation of the control process was made and the parameters of the fuzzy controller were found. These parameters were transferred to the real fuzzy controller and the real control process proved a good correspondence between simulation and real experiment. The fuzzy controller for pressure control of a low-loss helium cryostat is described.

Keywords

Nonlinear systems, fuzzy control, simulation

RIV year

2004

Released

01.04.2003

Publisher

TECOS

Location

Slovenia, Bled, Celje

ISBN

961-90401-7-1

Book

International conference on industrial tools

Pages from

381

Pages to

384

Pages count

4

Documents

BibTex


@inproceedings{BUT9138,
  author="Pavel {Jura}",
  title="The fuzzy controller tuning- A simulation approach",
  annote="Various types of low-loss helium cryostat are used for NMR superconducting magnets. The low-loss helium cryostat was identified as a nonlinear system. The model of the system was created and a fuzzy controller was added to the close loop. The simulation of the control process was made and the parameters of the fuzzy controller were found. These parameters were transferred to the real fuzzy controller and the real control process proved a good correspondence between simulation and real experiment. The fuzzy controller for pressure control of a low-loss helium cryostat is described.",
  address="TECOS",
  booktitle="International conference on industrial tools",
  chapter="9138",
  institution="TECOS",
  year="2003",
  month="april",
  pages="381",
  publisher="TECOS",
  type="conference paper"
}