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Hardware-Based Simulator for Hydrodynamic Pitch and Roll Behavior of Marine Vehicles

Year 2025, Volume: 13 Issue: 4, 410 - 419, 31.12.2025
https://doi.org/10.17694/bajece.1661442
https://izlik.org/JA49PU78TD

Abstract

This study presents the design of a hardware-based simulator to examine the impact of sea waves on ship navigation sensors. The objective is to create a cost-efficient, easily deployable, and effective simulator. The study considers the pitch and roll movements arising from the wave-heave relationship. A simulator comprising a single rotary actuator is built for this purpose. The mathematical model characterizing the ship-wave interaction is employed to obtain the motion profile. A sequence control with a real-time control parameter update algorithm is developed to track the motion profile. The simulator’s performance is validated through experimental studies. The simulator demonstrates a tracking error of less than 0.012 radians. The simulator may also utilize motion profiles established via various wave-ship models. The compact dimensions of the simulator facilitate on-site testing and analysis.

References

  • [1] A. M. Hasan, K. Samsudin, A. R. Ramli, R. S. Azmir, and S. A. Ismaeel, “A review of navigation systems (integration and algorithms),” Australian Journal of Basic and Applied Sciences, vol. 3, no. 2, pp. 943–959, 2009, available at: Universiti Putra Malaysia, Department of Computer and Communication System Engineering.
  • [2] Y. Kerwei, Y. Tsunlirng, and Z. Yujie, “A case study of yacht’s motions represented by using stewart platform,” in Proceedings of the 27th Chinese Control Conference, Chinese Automatic Control Society. Kunming, Yunnan, China: IEEE, July 2008, pp. 629–634.
  • [3] C. Han, X. Hu, and D. Sun, “The influence of ship roll and pitch on absolute measurement of ship heave signals and its correction method,” Ocean Engineering, vol. 322, p. 120468, 2025.
  • [4] M. Richter, S. Schaut, D. Walser, K. Schneider, and O. Sawodny, “Experimental validation of an active heave compensation system: Estimation, prediction and control,” Control Engineering Practice, vol. 66, pp. 1–12, 2017.
  • [5] J. Linder, M. Enqvist, and F. Gustafsson, “A closed-loop instrumental variable approach to mass and center of mass estimation using imu data,” in 53rd IEEE Conference on Decision and Control, 2014, pp. 283–289.
  • [6] L. F. M. V. Moraes, F. N. Carvalho, and H. P. P. Pereira, “Characterization and wave motion simulations of mems inertial sensors using 6dof platform,” in OCEANS 2019 - Marseille, 2019, pp. 1–4.
  • [7] K. Talke, D. Drotman, N. Stroumtsos, M. de Oliveira, and T. Bewley, “Design and parameter optimization of a 3-psr parallel mechanism for replicating wave and boat motion,” in 2019 International Conference on Robotics and Automation (ICRA), 2019, pp. 7955–7961.
  • [8] H. Yongpan and T. Limin, “Real-time zero phase filtering for heave measurement,” in 2013 IEEE 11th International Conference on Electronic Measurement & Instruments, vol. 1, 2013, pp. 321–326.
  • [9] E. Trinklein and G. Parker, “Ship motion sensor isolation system development and testing for use with low cost imus,” in 2016 IEEE Sensors Applications Symposium (SAS), 2016, pp. 1–6.
  • [10] X. Liu, X. Xu, Y. Liu, and L. Wang, “A fast and high-accuracy transfer alignment method between m/s ins for ship based on iterative calculation,” Measurement, vol. 51, pp. 297–309, 2014.
  • [11] X. Lu, C. Feng, Y. Ma, F. Yang, B. Shi, and D. Su, “Calibration method of rotation and displacement systematic errors for ship-borne mobile surveying systems,” Survey Review, vol. 51, no. 364, pp. 78–86, 2019.
  • [12] T. Szelangiewicz, K. ˙ Zelazny, A. Antosik, and M. Szelangiewicz, “Application of measurement sensors and navigation devices in experimental research of the computer system for the control of an unmanned ship model,” Sensors, vol. 21, no. 4, p. 1312, 2021.
  • [13] Y. Ma, Z. Yin, S. Wang, and Z. Chen, “Ship heave measurement method based on sliding adaptive delay-free complementary band-pass filter,” Ocean Engineering, vol. 316, p. 119813, 2025.
  • [14] L. Wang, S. Li, J. Liu, Y. Hu, and Q. Wu, “Design and implementation of a testing platform for ship control: A case study on the optimal switching controller for ship motion,” Advances in Engineering Software, vol. 178, p. 103427, 2023.
  • [15] A. Lloyd, Seakeeping: Ship Behaviour in Rough Weather, ser. Ellis Horwood Series in Polymer Science and Technology. E. Horwood, 1989. [Online]. Available: https://books.google.com.tr/books? id=LWwZAQAAIAAJ
  • [16] Y. Dai, R. Cheng, X. Yao, and L. Liu, “Hydrodynamic coefficients identification of pitch and heave using multi-objective evolutionary algorithm,” Ocean Engineering, vol. 171, pp. 33–48, 2019.
  • [17] Y. ying Wang, “The specialist committee on waves final report and recommendations to the 23 rd ittc,” 2016. [Online]. Available: https://api.semanticscholar.org/CorpusID:197643551
  • [18] H. Mu and Y. Zhou, “Profile generation algorithm and implementation for high accuracy motion,” in 2006 IEEE International Conference on Robotics and Biomimetics, 2006, pp. 549–554.
  • [19] K. Papafotis, G. Georgousis, C. Oustoglou, C. Dimas, and P. P. Sotiriadis, “A low-cost inertial measurement unit for ship motion estimation,” in 2024 Panhellenic Conference on Electronics and Telecommunications (PACET), 2024, pp. 1–4.
  • [20] Y. Chen, X. Yang, and R. Liu, “A nonlinear sate estimate for dynamic positioning based on improved particle filter,” in 2018 2nd IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC), 2018, pp. 880–884.

Deniz Araçlarının Hidrodinamik Yunuslama ve Yuvarlanma İçin Davranışı Donanım Tabanlı Simülatör

Year 2025, Volume: 13 Issue: 4, 410 - 419, 31.12.2025
https://doi.org/10.17694/bajece.1661442
https://izlik.org/JA49PU78TD

Abstract

Bu çalışma, deniz dalgalarının gemi navigasyon sensörleri üzerindeki etkisini incelemek için tasarlanmış donanım tabanlı bir simülatör sunmaktadır. Amaç, maliyet etkin, kolayca konuşlandırılabilir ve etkili bir simülatör oluşturmaktır. Çalışma, dalga-yükselme ilişkisi sonucunda ortaya çıkan yunuslama ve yuvarlanma hareketlerini dikkate alır. Bu amaçla tek bir döner aktüatör içeren bir simülatör inşa edilmiştir. Gemi-dalga etkileşimini karakterize eden matematiksel model, hareket profilini elde etmek için kullanılır. Hareket profilini takip etmek için gerçek zamanlı kontrol parametre güncelleme algoritmasına sahip bir sıralama kontrolü geliştirilmiştir. Simülatörün performansı deneysel çalışmalarla doğrulanmıştır. Simülatör, 0.012 radyan'dan daha az izleme hatası sahiptir. Simülatör, çeşitli dalga-gemi modelleri aracılığıyla oluşturulan hareket profillerin de kullanabilir. Simülatörün kompakt boyutları, yerinde test ve analiz yapılmasını kolaylaştırır.

References

  • [1] A. M. Hasan, K. Samsudin, A. R. Ramli, R. S. Azmir, and S. A. Ismaeel, “A review of navigation systems (integration and algorithms),” Australian Journal of Basic and Applied Sciences, vol. 3, no. 2, pp. 943–959, 2009, available at: Universiti Putra Malaysia, Department of Computer and Communication System Engineering.
  • [2] Y. Kerwei, Y. Tsunlirng, and Z. Yujie, “A case study of yacht’s motions represented by using stewart platform,” in Proceedings of the 27th Chinese Control Conference, Chinese Automatic Control Society. Kunming, Yunnan, China: IEEE, July 2008, pp. 629–634.
  • [3] C. Han, X. Hu, and D. Sun, “The influence of ship roll and pitch on absolute measurement of ship heave signals and its correction method,” Ocean Engineering, vol. 322, p. 120468, 2025.
  • [4] M. Richter, S. Schaut, D. Walser, K. Schneider, and O. Sawodny, “Experimental validation of an active heave compensation system: Estimation, prediction and control,” Control Engineering Practice, vol. 66, pp. 1–12, 2017.
  • [5] J. Linder, M. Enqvist, and F. Gustafsson, “A closed-loop instrumental variable approach to mass and center of mass estimation using imu data,” in 53rd IEEE Conference on Decision and Control, 2014, pp. 283–289.
  • [6] L. F. M. V. Moraes, F. N. Carvalho, and H. P. P. Pereira, “Characterization and wave motion simulations of mems inertial sensors using 6dof platform,” in OCEANS 2019 - Marseille, 2019, pp. 1–4.
  • [7] K. Talke, D. Drotman, N. Stroumtsos, M. de Oliveira, and T. Bewley, “Design and parameter optimization of a 3-psr parallel mechanism for replicating wave and boat motion,” in 2019 International Conference on Robotics and Automation (ICRA), 2019, pp. 7955–7961.
  • [8] H. Yongpan and T. Limin, “Real-time zero phase filtering for heave measurement,” in 2013 IEEE 11th International Conference on Electronic Measurement & Instruments, vol. 1, 2013, pp. 321–326.
  • [9] E. Trinklein and G. Parker, “Ship motion sensor isolation system development and testing for use with low cost imus,” in 2016 IEEE Sensors Applications Symposium (SAS), 2016, pp. 1–6.
  • [10] X. Liu, X. Xu, Y. Liu, and L. Wang, “A fast and high-accuracy transfer alignment method between m/s ins for ship based on iterative calculation,” Measurement, vol. 51, pp. 297–309, 2014.
  • [11] X. Lu, C. Feng, Y. Ma, F. Yang, B. Shi, and D. Su, “Calibration method of rotation and displacement systematic errors for ship-borne mobile surveying systems,” Survey Review, vol. 51, no. 364, pp. 78–86, 2019.
  • [12] T. Szelangiewicz, K. ˙ Zelazny, A. Antosik, and M. Szelangiewicz, “Application of measurement sensors and navigation devices in experimental research of the computer system for the control of an unmanned ship model,” Sensors, vol. 21, no. 4, p. 1312, 2021.
  • [13] Y. Ma, Z. Yin, S. Wang, and Z. Chen, “Ship heave measurement method based on sliding adaptive delay-free complementary band-pass filter,” Ocean Engineering, vol. 316, p. 119813, 2025.
  • [14] L. Wang, S. Li, J. Liu, Y. Hu, and Q. Wu, “Design and implementation of a testing platform for ship control: A case study on the optimal switching controller for ship motion,” Advances in Engineering Software, vol. 178, p. 103427, 2023.
  • [15] A. Lloyd, Seakeeping: Ship Behaviour in Rough Weather, ser. Ellis Horwood Series in Polymer Science and Technology. E. Horwood, 1989. [Online]. Available: https://books.google.com.tr/books? id=LWwZAQAAIAAJ
  • [16] Y. Dai, R. Cheng, X. Yao, and L. Liu, “Hydrodynamic coefficients identification of pitch and heave using multi-objective evolutionary algorithm,” Ocean Engineering, vol. 171, pp. 33–48, 2019.
  • [17] Y. ying Wang, “The specialist committee on waves final report and recommendations to the 23 rd ittc,” 2016. [Online]. Available: https://api.semanticscholar.org/CorpusID:197643551
  • [18] H. Mu and Y. Zhou, “Profile generation algorithm and implementation for high accuracy motion,” in 2006 IEEE International Conference on Robotics and Biomimetics, 2006, pp. 549–554.
  • [19] K. Papafotis, G. Georgousis, C. Oustoglou, C. Dimas, and P. P. Sotiriadis, “A low-cost inertial measurement unit for ship motion estimation,” in 2024 Panhellenic Conference on Electronics and Telecommunications (PACET), 2024, pp. 1–4.
  • [20] Y. Chen, X. Yang, and R. Liu, “A nonlinear sate estimate for dynamic positioning based on improved particle filter,” in 2018 2nd IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC), 2018, pp. 880–884.
There are 20 citations in total.

Details

Primary Language English
Subjects Electrical Engineering (Other)
Journal Section Research Article
Authors

Ufuk Guner 0000-0002-1580-9051

Submission Date March 19, 2025
Acceptance Date June 10, 2025
Publication Date December 31, 2025
DOI https://doi.org/10.17694/bajece.1661442
IZ https://izlik.org/JA49PU78TD
Published in Issue Year 2025 Volume: 13 Issue: 4

Cite

APA Guner, U. (2025). Hardware-Based Simulator for Hydrodynamic Pitch and Roll Behavior of Marine Vehicles. Balkan Journal of Electrical and Computer Engineering, 13(4), 410-419. https://doi.org/10.17694/bajece.1661442

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