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Active vibration control of a smart cantilever beam at resonance: A comparison between conventional and real time control

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    All mechanical systems suffer from undesirable vibrations during their operations. These vibrations are unavoidable as they depend on various factors. However, for efficient operation of the system, they have to be controlled within the specified limits. Light weight, rapid and multi-mode control of the vibrating structure is possible by the use of piezoelectric sensors and actuators coupled with feedback algorithms. In this paper, direct output feedback based active vibration control has been implemented on a smart cantilever beam at its resonant frequency using PZT (Lead Zirconate Titanate) sensors and actuators. The work aims to showcase the performance abilities of the conventional PC based control and a dedicated REAL TIME CONTROL at resonance. The platform used is LABVIEW RT with FPGA hardware and the system performance is compared with the conventional time multiplexed Operating System (Windows 7) where LABVIEW is again used with the appropriate DAQ devices.

    Original languageEnglish
    Title of host publicationProceedings of the 2012 12th International Conference on Intelligent Systems Design and Applications, ISDA 2012
    Pages235-239
    Number of pages5
    DOIs
    Publication statusPublished - 2012
    Event2012 12th International Conference on Intelligent Systems Design and Applications, ISDA 2012 - Kochi, India
    Duration: 27-11-201229-11-2012

    Publication series

    NameInternational Conference on Intelligent Systems Design and Applications, ISDA
    ISSN (Print)2164-7143
    ISSN (Electronic)2164-7151

    Conference

    Conference2012 12th International Conference on Intelligent Systems Design and Applications, ISDA 2012
    Country/TerritoryIndia
    CityKochi
    Period27-11-1229-11-12

    All Science Journal Classification (ASJC) codes

    • Artificial Intelligence
    • Computer Science Applications
    • Signal Processing
    • Control and Systems Engineering

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