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Self-adapting Control Structure for Active Damping of the Servomechanism Residual Vibration

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24620%2F17%3A00003951" target="_blank" >RIV/46747885:24620/17:00003951 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/document/7945874/" target="_blank" >http://ieeexplore.ieee.org/document/7945874/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ECMSM.2017.7945874" target="_blank" >10.1109/ECMSM.2017.7945874</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Self-adapting Control Structure for Active Damping of the Servomechanism Residual Vibration

  • Original language description

    This paper describes an approach that leads to increased robustness of the model based active damping control (so called SEM) structure against servomechanism residual frequency variation due to changing the parameters of the servomechanism (such as length of the crane rope or weight of carried load). SEM control structure uses the mathematical model of the servomechanism to generate the final active damping correction signal. This type of control structures typically suffer from the high dependency on compliance mathematical model with real physical system of the servomechanism. The compliance has a major effect on the effectiveness of active damping but also to the inherent stability of control system. Otherwise, the mathematical model does not produce the correct frequency of residual vibration and because of this can hardly damp the real servomechanism vibration. This is why we focus on self-adaptation of the active adaptation of mathematical model parameters using an artificial intelligence technique such as fuzzy logic. Fuzzy systems are widely used in modelling of unknown and dynamically changing parameters likewise in uncertainty compensation. Fuzzy modelling approach of certain parameter of the servomechanism model is going to be presented and validated.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

Result continuities

  • Project

    <a href="/en/project/LO1201" target="_blank" >LO1201: DEVELOPMENT OF THE INSTITUTE FOR NANOMATERIALS, ADVANCED TECHNOLOGIES AND INNOVATION</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • 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 2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics, ECMSM 2017

  • ISBN

    978-150905582-1

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    191-196

  • Publisher name

    Institute of Electrical and Electronics Engineers Inc.

  • Place of publication

    ARRASATE-MONDRAGON, Spain

  • Event location

    Denostia - San Sebastian, Spain

  • Event date

    Jan 1, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article