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 YangThis work is licensed under a Creative Commons Attribution 4.0 International License. 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. |