Gradient-based repetitive learning control for rotor vibration control

Kari Tammi

    Research output: Contribution to journalArticleScientificpeer-review

    Abstract

    Repetitive learning control was examined for active vibration control of rotor. A novel modification of a gradient-based repetitive learning control algorithm was developed. The stability of the algorithm was studied and the algorithm was tested on a rotor test rig. The experiments showed that repetitive learning control attenuated efficiently rotor vibrations excited by rotor unbalances. In addition to experimental work, the paper presents convergence and stability properties of the proposed repetitive learning control approach.
    Original languageEnglish
    Pages (from-to)222-232
    Number of pages11
    JournalInternational Journal of Intelligent Control and Systems
    Volume13
    Issue number4
    Publication statusPublished - 2008
    MoE publication typeA1 Journal article-refereed

    Fingerprint Dive into the research topics of 'Gradient-based repetitive learning control for rotor vibration control'. Together they form a unique fingerprint.

    Cite this