A Novel Sliding Mode Control with Low-Pass Filter for Nonlinear Handling Chain System in Container Ports
Authors: 
Bowei Xu, Junjun Li, Yongsheng Yang, Huafeng Wu, Octavian Postolache Academic Editor: Lingzhong GuoAuthors Info & Claims
Abstract
Nonlinearities in a container port handling chain include mainly nonnegative arrive rate of container cargoes, limited container handling completion rate, and nonnegative unsatisfied freight requirement constraints. The nonlinearity influences the operation resources availability and consequently the planned container port handling strategies. Developments presented in this work are devoted to a novel design of sliding mode control with low-pass filter (SMC-LPF) to nonlinear handling chain system (HCS) in container ports. The SMC-LPF can effectively reduce unsatisfied freight requirement of the HCS and make chattering decrease significantly. To illustrate the effectiveness and accuracy of the proposed SMC-LPF, an application to a real container port in China is outlined. The performances of the SMC-LPF for the nonlinear HCS in container ports outperform those of the traditional method, particle swarm optimization algorithm, and slide mode control under simulations with a unit step signal and a sinusoidal signal with offset as the freight requirements. The contributions herein demonstrate the proposed control strategy in weakening chattering, reducing the unsatisfied freight requirements to 0 as close as possible in the HCS, maximizing the operation resilience and robustness of port and shipping supply chain against parametric perturbation, external disturbances, and fluctuant handling abilities.
References
[1]
F. Wang, J. Huang, and Z. Liu, “Port management and operations: emerging research topics and progress,” Journal of Management Sciences in China, vol. 20, no. 5, pp. 111–126, 2017.
[2]
UNCTAD, 50 Years of Review of Maritime Transport, 1968–2018: Reflecting on the Past, Exploring the Future, UNCTAD, Geneva, Switzerland, 2018, https://unctad.org/en/PublicationsLibrary/dtl2018d1_en.pdf.
[3]
J. Xin, R. R. Negenborn, and G. Lodewijks, “Event-driven receding horizon control for energy-efficient container handling,” Control Engineering Practice, vol. 39, pp. 45–55, 2015.
[4]
H. Hu, X. Chen, T. Wang, and Y. Zhang, “A three-stage decomposition method for the joint vehicle dispatching and storage allocation problem in automated container terminals,” Computers & Industrial Engineering, vol. 129, pp. 90–101, 2019.
[5]
B. Xu, J. Li, Y. Yang, H. Wu, and O. Postolache, “Model and resilience analysis for handling chain systems in container ports,” Complexity, vol. 2019, 12 pages, 2019.
[6]
R. Pant, K. Barker, J. E. Ramirez-Marquez, and C. M. Rocco, “Stochastic measures of resilience and their application to container terminals,” Computers & Industrial Engineering, vol. 70, pp. 183–194, 2014.
[7]
A. Mhalla, S. C. Dutilleul, and H. Zhang, “Robust control under uncertainty for seaport handling equipments,” Transportation Research Procedia, vol. 14, pp. 203–212, 2016.
[8]
U. Speer, G. John, and K. Fischer, “Scheduling yard cranes considering crane interference,” Lecture Notes in Computer Science, vol. 6971, pp. 321–340, 2011.
[9]
M. Drexl, “Synchronization in vehicle routing-A survey of VRPs with multiple synchronization constraints,” Transportation Science, vol. 46, no. 3, pp. 297–316, 2012.
[10]
Z.-H. Hu, J.-B. Sheu, and J. X. Luo, “Sequencing twin automated stacking cranes in a block at automated container terminal,” Transportation Research Part C: Emerging Technologies, vol. 69, pp. 208–227, 2016.
[11]
R. Choe, T. S. Kim, T. Kim, and K. R. Ryu, “Crane scheduling for opportunistic remarshaling of containers in an automated stacking yard,” Flexible Services and Manufacturing Journal, vol. 27, no. 2-3, pp. 331–349, 2015.
[12]
S. Li and S. Jia, “The seaport traffic scheduling problem: formulations and a column-row generation algorithm,” Transportation Research Part B: Methodological, vol. 128, pp. 158–184, 2019.
[13]
O. A. Kasm and A. Diabat, “The quay crane scheduling problem with non-crossing and safety clearance constraints: an exact solution approach,” Computers and Operations Research, vol. 107, pp. 189–199, 2019.
[14]
X. F. Yin, L. P. Khoo, and C.-H. Chen, “A distributed agent system for port planning and scheduling,” Advanced Engineering Informatics, vol. 25, no. 3, pp. 403–412, 2011.
[15]
C. Cubillos, R. Díaz, E. Urra, D. Cabrera-Paniagua, G. Cabrera, and G. Lefranc, “An agent-based solution for the berth allocation problem,” International Journal of Computers Communications & Control, vol. 8, no. 3, pp. 384–394, 2013.
[16]
S. Y. Lee and G. S. Cho, “A simulation study for the operations analysis of dynamic planning in container terminals considering RTLS,” in Proceedings of the Second International Conference on Innovative Computing, Information and Control, pp. 457–460, Kumamoto, Japan, September 2007.
[17]
E. Ursavas and S. X. Zhu, “Optimal policies for the berth allocation problem under stochastic nature,” European Journal of Operational Research, vol. 255, no. 2, pp. 380–387, 2016.
[18]
J. Xin, R. R. Negenborn, and G. Lodewijks, “Energy-aware control for automated container terminals using integrated flow shop scheduling and optimal control,” Transportation Research Part C: Emerging Technologies, vol. 44, pp. 214–230, 2014.
[19]
F. B. Boetzelaer, T. J. J. Boom, and R. R. Negenborn, “Model predictive scheduling for container terminals,” IFAC Proceedings, vol. 47, no. 3, pp. 5091–5096, 2014.
[20]
M. A. Dulebenets, “A novel Memetic Algorithm with a deterministic parameter control for efficient berth scheduling at marine container terminals,” Maritime Business Review, vol. 2, no. 4, pp. 302–330, 2017.
[21]
M. A. Dulebenets, M. Kavoosi, O. Abioye, and J. Pasha, “A self-adaptive evolutionary algorithm for the berth scheduling problem: towards efficient parameter control,” Algorithms, vol. 11, no. 7, pp. 1–35, 2018.
[22]
M. Kavoosi, M. A. Dulebenets, O. F. Abioye, J. Pasha, H. Wang, and H. Chi, “An augmented self-adaptive parameter control in evolutionary computation: a case study for the berth scheduling problem,” Advanced Engineering Informatics, vol. 42, 2019.
[23]
L. Qiao and W. Zhang, “Double-loop integral terminal sliding mode tracking control for UUVs with adaptive dynamic compensation of uncertainties and disturbances,” IEEE Journal of Oceanic Engineering, vol. 44, no. 1, pp. 29–53, 2019.
[24]
Z. Yan, M. Wang, and J. Xu, “Robust adaptive sliding mode control of underactuated autonomous underwater vehicles with uncertain dynamics,” Ocean Engineering, vol. 173, pp. 802–809, 2019.
Index Terms
- A Novel Sliding Mode Control with Low-Pass Filter for Nonlinear Handling Chain System in Container Ports
Index terms have been assigned to the content through auto-classification.
Recommendations
Model and Resilience Analysis for Handling Chain Systems in Container Ports
Container ports are critical components of global port and shipping supply chain (PSSC) systems. Their handling operation resiliencies can affect their performance, along with those of the overall port and shipping supply chain. According to the ...
Payload pendulation and position control systems for an offshore container crane with adaptive‐gain sliding mode control
AbstractWhen container ports are not available for heavy ships, the offshore ship‐to‐ship transfer operation is an alternative method to an inland container terminal. This process is performed between a large container ship and a smaller ship, which is ...
Efficient container stacking approach to improve handling: efficiency in Chinese rail–truck transshipment terminals
An efficient container stacking approach is vital to the handling efficiency of container transshipment terminals. In this paper, by considering container allocation preferences and operation distance, the container stacking problem in rail–truck ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
Copyright © 2020 Bowei Xu et al.
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Publisher
John Wiley & Sons, Inc.
United States
Publication History
Published: 01 January 2020
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 04 Jan 2025