Designing precision fuzzy controller for load swing of an overhead crane

Leila Ranjbari, Amir Shirdel, M. Aslahi-Shahri, S. Anbari, A. Ebrahimi, M. Darvishi, M. Alizadeh, Rasoul Rahmani, M. Seyedmahmoudian

    Research output: Contribution to journalArticleScientificpeer-review

    13 Citations (Scopus)

    Abstract

    In this paper, a fuzzy logic controller is designed and proposed for controlling load swing of an overhead crane. To consider a complete model of the plant, the quadratic derivative of state variables is added to the conventional model which causes an extra weighting. The aim of the controller designed is to keep the load angle (ϕ) zero, all the time, which means no physical swinging in the load’s position. The results obtained are compared with the optimal control method, as one of the well-known control techniques, to verify the designed controller. The results show that the designed fuzzy controller is able to dampen the oscillations in the load swing angle and load’s angular velocity, in a reasonable time.
    Original languageUndefined/Unknown
    Pages (from-to)1555–1560
    JournalNeural Computing and Applications
    Volume26
    Issue number7
    DOIs
    Publication statusPublished - 2015
    MoE publication typeA1 Journal article-refereed

    Keywords

    • Fuzzy logic controller
    • Load swing
    • Overhead crane

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