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

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Abstract

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.

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Authors and Affiliations

  1. School of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan, 030024, China

    Yue Yan & Yi-Xiao Qin

  2. JinXi AXLE Co., Ltd, Taiyuan, 030024, China

    Li-Sheng Zhang

  3. TZ (Tianjin) Binhai Heavy Machine Technology Center of TYHI, Tianjin, 300452, China

    Tao Jia & Fu Sun

Authors
  1. Yue Yan
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  2. Yi-Xiao Qin
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  3. Li-Sheng Zhang
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  4. Tao Jia
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  5. Fu Sun
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Correspondence to Yi-Xiao Qin.

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Yan, Y., Qin, YX., Zhang, LS. et al. Swing Suppression Control in Quayside Crane by Using Fuzzy Logic and Improved Particle Swarm Optimization Algorithm. Iran J Sci Technol Trans Mech Eng 47, 1131–1144 (2023). https://doi.org/10.1007/s40997-022-00567-0

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  • DOI: https://doi.org/10.1007/s40997-022-00567-0

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