Jacking and Energy Consumption Control Over Network for Jack-Up Rig: Simulation and Experiment

1. J.T. Yi, F. Liu, T.B. Zhang, Z.Z. Qiu, and X.Y. Zhang, “Determination of the ultimate consolidation settlement of jack-up spudcan footings embedded in clays,” Ocean Eng., vol. 236, pp. 1-13, 2021, doi: 10.1016/j.oceaneng.2021.109509. Open DOISearch in Google Scholar

2. Q. Yin, J. Yang, G. Xu, R. Xie, M. Tyagi, L. Li, X. Zhou, N. Hu, G. Tong, C. Fu, and D. Pang, “Field experimental investigation of punch-through for different operational conditions during the jack-up rig spudcan penetration in sand overlying clay,” J. Petroleum Sci. Eng., vol. 195, pp. 1-21, 2020, doi: 10.1016/j.petrol.2020.107823. Open DOISearch in Google Scholar

3. F. Wang, W. Xiao, Y. Yao, Q. Liu, and C. Li, “An Analytical Procedure to Predict Transverse Vibration Response of Jack-Up Riser under the Random Wave Load,” Shock and Vibration, vol. 2020, pp. 1-9, 2020, doi: 10.1155/2020/5072989. Open DOISearch in Google Scholar

4. Y. Xie, J. Huang, X. Li, X. Tian, G. Liu, and D. Leng, “Experimental study on hydrodynamic characteristics of three truss-type legs of jack-up offshore platform,” Ocean Eng., vol. 234, pp. 1-15, 2021, doi: 10.1016/j.oceaneng.2021.109305. Open DOISearch in Google Scholar

5. M. Pająk, L. Muślewski, B. Landowski, and A. Grządziela, “Fuzzy Identification of the Reliability State of the Mine Detecting Ship Propulsion System,” Polish Marit. Res., vol. 26, no. 1, pp. 55-64, 2019, doi: 10.2478/pomr-2019-0007. Open DOISearch in Google Scholar

6. M. Pashna, R. Yusof, Z.H. Ismail, T. Namerikawa, and S. Yazdani, “Autonomous multi-robot tracking system for oil spills on sea surface based on hybrid fuzzy distribution and potential field approach,” Ocean Eng. vol. 207, pp.1-11, 2020, doi: 10.1016/j.oceaneng.2020.107238. Open DOISearch in Google Scholar

7. X.K. Dang, V.D. Do, and X.P. Nguyen, “Robust Adaptive Fuzzy Control using Genetic Algorithm for Dynamic Positioning System,” IEEE Access, vol. 8, pp. 222077–222092, 2020, doi: 10.1109/ACCESS.2020.3043453. Open DOISearch in Google Scholar

8. T. Cepowski, P. Chorab, and D. Łozowicka, “Application of an Artificial Neural Network and Multiple Nonlinear Regression to Estimate Container Ship Length Between Perpendiculars,” Polish Marit. Res., vol. 28, no. 2, pp. 36-45, 2021, doi: 10.2478/pomr-2021-0019. Open DOISearch in Google Scholar

9. R. Zagan, I. Paprocka, M.G. Manea, and E. Manea, “Estimation of Ship Repair Time Using the Genetic Algorithm,” Polish Marit. Res., vol. 28, no. 3, pp. 88-99, 2021, doi: 10.2478/pomr-2021-0036. Open DOISearch in Google Scholar

10. L. Zhang, J. Sun, and C. Guo, “A Novel Multi-Objective Discrete Particle Swarm Optimisation with Elitist Perturbation for Reconfiguration of Ship Power System,” Polish Marit. Res., vol. 24, no. s3, pp.79-85, 2017, doi: 10.1515/pomr-2017-0108. Open DOISearch in Google Scholar

11. X. Gu and Q. Shen, “A self-adaptive fuzzy learning system for streaming data prediction,” Information Sci., vol. 579, pp. 623-647, 2021, doi: 10.1016/j.ins.2021.08.023. Open DOISearch in Google Scholar

12. S. Buzura, V. Dadarlat, B. Iancu, A. Peculea, E. Cebuc, and R. Kovacs, “Self-adaptive Fuzzy QoS Algorithm for a Distributed Control Plane with Application in SDWSN,” 2020 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), pp. 1-6, 2020, doi: 10.1109/AQTR49680.2020.9129922. Open DOISearch in Google Scholar

13. T. Vinu, S. Kumaravel, and S. Ashok, “Fuzzy Controller-Based Self-Adaptive Virtual Synchronous Machine for Microgrid Application,” IEEE Transactions on Energy Conversion, vol. 36, no. 3, pp. 2427-2437, 2021, doi: 10.1109/TEC.2021.3057487. Open DOISearch in Google Scholar

14. T.D. Tran, V.D. Do, X.K. Dang, and B.L. Mai, “Improving the Control Performance of Jacking System of Jack-Up Rig Using Self-Adaptive Fuzzy Controller Based on Particle Swarm Optimisation,” 8th EAI International Conference, INISCOM 2022, pp. 184–200, 2022, doi: 10.1007/978-3-031-08878-0_13. Open DOISearch in Google Scholar

15. C. Wu, J. Liu, X. Jing, H. Li, and L. Wu, “Adaptive Fuzzy Control for Nonlinear Networked Control Systems,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 47, no. 8, pp. 2420-2430, 2017, doi: 10.1109/TSMC.2017.2678760. Open DOISearch in Google Scholar

16. M.B. Kadri and S.M.K. Raazi, “Model Free Fuzzy Adaptive Control for Networked Control Systems,” Technology Forces J. Eng. Sci., vol. 2, no. 1, pp. 9-19, 2019. Search in Google Scholar

17. W. Deng, X. Tian, X. Han, G. Liu, Y. Xie, and Z. Li, “Topology optimisation of jack-up offshore platform leg structure,” Proc. Inst. Mech. Engineers M, J. Eng. Maritime Environ, vol. 235, no. 1, pp. 165–175, 2021, doi: 10.1177/1475090220928736. Open DOISearch in Google Scholar

18. Y.F. Fan and J.H. Wang, “Method to evaluate effect of spudcan penetration on adjacent jacket piles,” Appl. Ocean Res., vol. 106, pp. 1–14, 2021, doi: 10.1016/j.apor.2020.102436. Open DOISearch in Google Scholar

19. B. Rozmarynowski and W. Jesien, “Spectral Response of Stationary Jack-Up Platforms Loaded by Sea Waves and Wind using Perturbation Method” Polish Marit. Res., vol.28, no. 4, pp.53-62, 2021, doi: 10.2478/pomr-2021-0049. Open DOISearch in Google Scholar

20. Z. Chao, H. Hong, B. Kaiming and Y. Xueyuan, “Dynamic amplification factors for a system with multiple-degrees-of-freedom,” Earthquake engineering and engineering vibration, vol. 19, no. 2, pp. 363–375, 2000, doi: 10.1007/s11803-020-0567-9. Open DOISearch in Google Scholar

21. W. Min and Q. Liu, “An improved adaptive fuzzy backstepping control for nonlinear mechanical systems with mismatched uncertainties,” Automatika, vol. 60, no. 1, pp. 1–10, 2019, doi: 10.1080/00051144.2018.1563357. Open DOISearch in Google Scholar

22. I. Ullah and D. Kim, “An Improved Optimisation Function for Maximising User Comfort with Minimum Energy Consumption in Smart Homes,” Energies, vol. 10, no. 11, pp. 1818, 2017, doi: 10.3390/en10111818. Open DOISearch in Google Scholar

23. D.P. Kumar, “Particle Swarm Optimisation: The Foundation,” International Series in Operations Research & Management Science, vol. 306, pp. 97-110, 2021, doi: 10.1007/978-3-030-70281-6_6. Open DOISearch in Google Scholar

24. 24. V.D. Do, X.K. Dang, and A.T. Le, “Fuzzy Adaptive Interactive Algorithm for Rig Balancing Optimisation,” International Conference on Recent Advances in Signal Processing, Telecommunication and Computing, pp. 143-148, 2017, doi: 10.1109/SIGTELCOM.2017.7849812. Open DOISearch in Google Scholar

25. K.S. Ahmed, A.K. Keng, and K.C. Ghee, “Stress and stiffness analysis of a 7-teeth pinion/rack jacking system of an Offshore jack-up rig,” Eng. Failure Analysis, vol. 115, pp. 104623, 2020, doi: 10.1016/j.engfailanal.2020.104623. Open DOISearch in Google Scholar

26. Z.M. Ghazi, I.S. Abbood, and F. Hejazi, “Dynamic evaluation of jack-up platform structure under wave, wind, earthquake and tsunami loads,” J. Ocean Eng. Sci., vol. 7, pp. 41-57, 2022, doi: 10.1016/j.joes.2021.04.005. Open DOISearch in Google Scholar

27. H.D. Tran, Z.H. Guan, X.K. Dang, X.M. Cheng, and F.S. Yuan, “A Normalized PID Controller in Networked Control Systems with Varying Time Delays,” ISA Transactions, vol.52, pp. 592-599, 2013, doi: 10.1016/j.isatra.2013.05.005.23810432 Open DOISearch in Google Scholar

28. X.K. Dang, Z.H. Guan, T. Li, and D.X. Zhang, “Joint Smith Predictor and Neural Network Estimation Scheme for Compensating Randomly Varying Time-delay in Networked Control System,” The 24th Chinese Control and Decision Conference, pp. 512-517, 2015, doi: 10.1109/CCDC.2012.6244077. Open DOISearch in Google Scholar