Detail publikace

The fuzzy controller tuning- A simulation approach

Originální název

The fuzzy controller tuning- A simulation approach

Anglický název

The fuzzy controller tuning- A simulation approach

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

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"
}