Simulation on Anti-swing of Container Cranes Based on Iterative Learning Control

doi:10.16182/j.issn1004731x.joss.201808041

Abstract

Abstract: To achieve the purpose of reducing or even eliminating the fixed stop container’s swinging after container cranes positioning, thereby improving the efficiency of quayside container cranes, the PD-type iterative learning control is selected to perform simulation analysis. This selection is based on the analysis of dynamic properties of quayside container lifting systems and the qualities of the repetitive nature of the swing phase of the container. A fixed initial state is assumed, and the PD parameters are determined after several debugging tasks. Based on Simulink blocks, the entire iterative learning controller model is established to design lifting systems of different length of ropes. The simulation results show that the algorithm is effective and has some practical reference value for engineering application.

Key words: container cranes, positioning control, simulation model, iterative learning control

CLC Number:

TP391.9

Liang Gang, Zhao Yiming, Qin Hengming. Simulation on Anti-swing of Container Cranes Based on Iterative Learning Control[J]. Journal of System Simulation, 2018, 30(8): 3154-3160.

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