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

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

Research output: Contribution to conferencePaperpeer-review

13 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 languageEnglish
Pages589-597
Number of pages9
DOIs
Publication statusPublished - 2004
Event2004 ASME International Mechanical Engineering Congress and Exposition, IMECE - Anaheim, CA, United States
Duration: Nov 13 2004Nov 19 2004

Other

Other2004 ASME International Mechanical Engineering Congress and Exposition, IMECE
Country/TerritoryUnited States
CityAnaheim, CA
Period11/13/0411/19/04

ASJC Scopus subject areas

  • Mechanical Engineering
  • Software

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