Swing Suppression Control in Quayside Crane by Using Fuzzy Logic and Improved Particle Swarm Optimization Algorithm

In order to promote the development of intelligent loading and unloading for quayside crane, a new anti-swing control system is established by using modern intelligent control methods to achieve precise positioning of trolley and swing control of hoisting load. Combining conventional PID control wit...

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Bibliographic Details
Published in:Iranian journal of science and technology. Transactions of mechanical engineering 2023-09, Vol.47 (3), p.1131-1144
Main Authors: Yan, Yue, Qin, Yi-Xiao, Zhang, Li-Sheng, Jia, Tao, Sun, Fu
Format: Article
Language:English
Subjects:
Engineering
Mechanical Engineering
Research Paper
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Summary:In order to promote the development of intelligent loading and unloading for quayside crane, a new anti-swing control system is established by using modern intelligent control methods to achieve precise positioning of trolley and swing control of hoisting load. Combining conventional PID control with fuzzy logic control theory, the anti-swing fuzzy adaptive PID control system (FPID) for quayside crane is proposed with the derived dynamic differential equations, which verified that the control system meets the control requirements of online parameter self-tuning. The simulation results showed that compared with the conventional PID controller, the FPID control system makes the trolley enter the steady state faster and the maximum swing angle of the hoisting load smaller. Meanwhile, an effective improved particle swarm algorithm (IPSO) is proposed to optimize the anti-swing PID controller of quayside crane, which has better robustness and adaptability than the FPID control system.
ISSN:2228-6187
2364-1835
DOI:10.1007/s40997-022-00567-0