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Control system of a rotary pneumatic motor

Result description

This paper briefly characterizes a design of a control system of a rotary pneumatic motor. The paper describes linearization of control by two different ways. The first method is linearization using inverse approximation of a static characteristic. The second method employs creating a linearization element using neural networks. Both methods are compared in the conclusion.

Keywords

approximationlinearizationneural networkspneumatic rotary motor

The result's identifiers

Alternative languages

  • Result language

    angličtina

  • Original language name

    Control system of a rotary pneumatic motor

  • Original language description

    This paper briefly characterizes a design of a control system of a rotary pneumatic motor. The paper describes linearization of control by two different ways. The first method is linearization using inverse approximation of a static characteristic. The second method employs creating a linearization element using neural networks. Both methods are compared in the conclusion.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JB - Sensors, detecting elements, measurement and regulation

  • OECD FORD branch

Result continuities

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 16th International Conference on Mechatronics, Mechatronika 2014

  • ISBN

    978-80-214-4817-9

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    588-593

  • Publisher name

    IEEE

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Jan 1, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article