Anti-swing adaptive fuzzy controller for an overhead crane with hoisting

Jamil M. Renno; Mohamed B. Trabia; Kamal A.F. Moustafa

doi:10.1115/IMECE2004-59066

Anti-swing adaptive fuzzy controller for an overhead crane with hoisting

Jamil M. Renno
, Mohamed B. Trabia
, Kamal A.F. Moustafa

Department of Mechanical and Aerospace Engineering

Research output: Contribution to conference › Paper › peer-review

12 Citations (Scopus)

Abstract

This paper presents a novel method for adaptive anti-swing fuzzy logic control for overhead cranes with hoisting. The control action is distributed between three fuzzy logic controllers (FLC's): trolley controller, hoist controller, and anti-swing controller. A method for varying the ranges of the variables of the three controllers as a function of the crane's parameters and/or motion variables is presented. Simulation examples show that the proposed controller can successfully drive overhead cranes under various operating conditions.

Original language	English
Pages	589-597
Number of pages	9
DOIs	https://doi.org/10.1115/IMECE2004-59066
Publication status	Published - 2004
Event	2004 ASME International Mechanical Engineering Congress and Exposition, IMECE - Anaheim, CA, United States Duration: Nov 13 2004 → Nov 19 2004

Other

Other	2004 ASME International Mechanical Engineering Congress and Exposition, IMECE
Country/Territory	United States
City	Anaheim, CA
Period	11/13/04 → 11/19/04

ASJC Scopus subject areas

Mechanical Engineering
Software

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10.1115/IMECE2004-59066

Cite this

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abstract = "This paper presents a novel method for adaptive anti-swing fuzzy logic control for overhead cranes with hoisting. The control action is distributed between three fuzzy logic controllers (FLC's): trolley controller, hoist controller, and anti-swing controller. A method for varying the ranges of the variables of the three controllers as a function of the crane's parameters and/or motion variables is presented. Simulation examples show that the proposed controller can successfully drive overhead cranes under various operating conditions.",

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AB - This paper presents a novel method for adaptive anti-swing fuzzy logic control for overhead cranes with hoisting. The control action is distributed between three fuzzy logic controllers (FLC's): trolley controller, hoist controller, and anti-swing controller. A method for varying the ranges of the variables of the three controllers as a function of the crane's parameters and/or motion variables is presented. Simulation examples show that the proposed controller can successfully drive overhead cranes under various operating conditions.

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Anti-swing adaptive fuzzy controller for an overhead crane with hoisting

Abstract

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