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Design and implementation of fuzzy logic controller for intelligent gantry crane system

By Wahyudi Wahyudi and Jamaludin Jalani

Abstract

Gantry crane is a machine that moves payload from one point to another point. Recently, most of gantry cranes use open loop system to control position while anti-swing control is done manually by skilful operators. Therefore, skilful operators are needed to be trained in order to operate the gantry crane efficiently and safely. The performance of the gantry cranes are heavily depends on their experiences and capability. This may not be practical to control the gantry crane because human skills are restricted by fatigue problem and will affect the performance of the gantry crane. In addition, it is well known that open loop system is sensitive to the parameter variations and disturbances. To overcome the above-mentioned problems, feedback control is adopted in this paper. Fuzzy logic controllers are proposed for gantry crane system. Fuzzy logic control is designed based on information of the skilful operators. The effectiveness of the proposed controller is evaluated experimentally using a lab-scale gantry crane. The experimental result shows that fuzzy logic controllers have produced good result for anti-swing controller

Topics: TJ212-225 Control engineering systems. Automatic machinery (General)
OAI identifier: oai:eprints.uthm.edu.my:2620

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