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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

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Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials, Volume 33, Number 9(4) (2021)
Copyright(C) MYU K.K.
pp. 3333-3344
S&M2693 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2021.3403
Published: September 30, 2021

Vision-based Fuzzy Proportional–Integral–Derivative Tracking Control Scheme for Gantry Crane System [PDF]

Feijie Zheng, Chi-Hsin Yang, Gao Hao, Kun-Chieh Wang, and Hai-Lian Hong

(Received March 29, 2021; Accepted June 30, 2021)

Keywords: gantry crane system, fuzzy PID, trajectory tracking, anti-swing

A vision-based fuzzy proportional–integral–derivative (PID) control scheme for a two-degree-of-freedom (2DOF) gantry crane system is introduced in this paper. By applying the experimental prototype of a 2DOF gantry crane system, a two-inputs-three-outputs variable universe fuzzy adaptive PID (VUFAPID) control scheme is proposed for controlling the position of the trolley and the length of the cable. This control scheme combines the variable universe method and fuzzy adaptive PID (FAPID) control. The designed control scheme is applied to control the motion of the crane tip and to compensate for load oscillations to achieve the desired effects of trajectory tracking and limiting the swing. Experimental results demonstrate the effectiveness of the proposed scheme.

Corresponding author: Chi-Hsin Yang


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Cite this article
Feijie Zheng, Chi-Hsin Yang, Gao Hao, Kun-Chieh Wang, and Hai-Lian Hong, Vision-based Fuzzy Proportional–Integral–Derivative Tracking Control Scheme for Gantry Crane System, Sens. Mater., Vol. 33, No. 9, 2021, p. 3333-3344.



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