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

Authors

Liang Gang, Shanghai Maritime University, Shanghai 201306, China;
Yiming Zhao, Shanghai Maritime University, Shanghai 201306, China;
Hengming Qin, Shanghai Maritime University, Shanghai 201306, China;

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.

Recommended Citation

Gang, Liang; Zhao, Yiming; and Qin, Hengming (2019) "Simulation on Anti-swing of Container Cranes Based on Iterative Learning Control," Journal of System Simulation: Vol. 30: Iss. 8, Article 41.
DOI: 10.16182/j.issn1004731x.joss.201808041
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss8/41

First Page

3154

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201808041

Last Page

3160

CLC

TP391.9

Recommended Citation

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.

DOI

10.16182/j.issn1004731x.joss.201808041