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

doi:10.1007/s00521-015-1825-z

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 journal › Article › Scientific › peer-review

21 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 language	Undefined/Unknown
Pages (from-to)	1555–1560
Journal	Neural Computing and Applications
Volume	26
Issue number	7
DOIs	https://doi.org/10.1007/s00521-015-1825-z
Publication status	Published - 2015
MoE publication type	A1 Journal article-refereed

Keywords

Fuzzy logic controller
Load swing
Overhead crane

Access to Document

10.1007/s00521-015-1825-z

http://link.springer.com/article/10.1007%2Fs00521-015-1825-z

Cite this

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title = "Designing precision fuzzy controller for load swing of an overhead crane",

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{\textquoteright}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{\textquoteright}s angular velocity, in a reasonable time.",

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T1 - Designing precision fuzzy controller for load swing of an overhead crane

AU - Ranjbari, Leila

AU - Shirdel, Amir

AU - Aslahi-Shahri, M.

AU - Anbari, S.

AU - Ebrahimi, A.

AU - Darvishi, M.

AU - Alizadeh, M.

AU - Rahmani, Rasoul

AU - Seyedmahmoudian, M.

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N2 - 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.

AB - 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.

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KW - Fuzzy logic controller

KW - Load swing

KW - Overhead crane

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