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Optimal Control of Double Pendulum Crane Using FOPID and Genetic Algorithm

  • Mohamed O. Elhabib
  • , Herman Wahid*
  • , Zaharuddin Mohamed
  • , H. I. Jaafar
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

Gantry cranes are commonly utilized to transfer huge loads in construction projects as well as essential sectors such as petrochemical and nuclear power. The objective of their operation is to achieve high levels of precision in trolley positioning while simultaneously reducing the amplitudes of sway oscillations. The goal of control approaches is to achieve optimum operational efficiency by maintaining accurate trolley placement while simultaneously meeting safety requirements by reducing sway-induced oscillatory oscillations. To satisfy control objective this paper considered the design of fractional order PID (FOPID) with help of genetic algorithm to compute controller parameters using MATLAB Software. Simulation results showed the controller performance is better than classic PID and also it was capable of providing good response for different payload masses.

Original languageEnglish
Title of host publicationMethods and Applications for Modeling and Simulation of Complex Systems - 22nd Asia Simulation Conference, AsiaSim 2023, Proceedings
EditorsFazilah Hassan, Noorhazirah Sunar, Mohd Ariffanan Mohd Basri, Mohd Saiful Azimi Mahmud, Mohamad Hafis Izran Ishak, Mohamed Sultan Mohamed Ali
PublisherSpringer Science and Business Media Deutschland GmbH
Pages408-420
Number of pages13
ISBN (Print)9789819972425
DOIs
StatePublished - 2024
Externally publishedYes
Event22nd Asia Simulation Conference, AsiaSim 2023 - Langkawi, Malaysia
Duration: 25 Oct 2023 → 26 Oct 2023

Publication series

NameCommunications in Computer and Information Science
Volume1912 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference22nd Asia Simulation Conference, AsiaSim 2023
Country/TerritoryMalaysia
CityLangkawi
Period25/10/23 → 26/10/23

Bibliographical note

Publisher Copyright:
© 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

  • Double pendulum crane
  • Fractional order PID
  • Genetic algorithm
  • Optimal control

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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