Dynamic Positioning of Autonomous Underwater Vehicle in Shallow Water under the Influence of External Disturbances

Abstract

This work is devoted to the formation of dynamic positioning system for autonomous underwater vehicle with multipurpose structure. Such vehicles are applied to oceanographic research and bottom exploration. To dock with an underwater station or obtain more accurate information about the bottom, it is necessary to stabilize the vehicle at a given point in space, in other words, position the device. The problem of dynamic positioning is one of the primary control problems of marine objects. Numerous solutions to this issue have been presented for vessels. Fewer results were obtained for underwater vehicles due to a rather complex mathematical model. However, simplifications of the dynamic equation are possible in the case of positioning in shallow water, which make it possible to apply existing approaches to vessel control for underwater vehicles. The purpose of this work is to enhance the control system with multipurpose structure obtained on the basis of the separation principle by introducing into the control law an additional term. The resulting system consists of the observer, which restores the speed components of the vehicle’s movement and clears measurements of noise, and the controller, which positions the vehicle in a given position, provides the integral action of the closed-loop system and the economical mode of operation of the actuators. The integral action allows us to eliminate the deviation of the vehicle from the desired position when exposed to a constant disturbance (underwater and wind currents). Economical mode of control components makes it possible to lower their wear and reduce overall fuel consumption. A simulation is run in Simulink to illustrate the effectiveness of the obtained system.

Author Biography

Irina Romanovna Litvishko, Saint Petersburg State University

Student of the Chair of Computer Applications and Systems, Faculty of Applied Mathematics and Control Processes

References

1. Vediakova A.O., Vedyakov A.A., Boev V.S. Dynamic positioning of a sea vessel under the influence of a multi-harmonic external disturbance. Journal of Physics: Conference Series. 2021; 1864(1):012153. (In Eng.) doi: https://doi.org/10.1088/1742-6596/1864/1/012153
2. Sotnikova M.V., Veremey E.I., Korovkin M.V. Transoceanic routes optimization using dynamic properties of ship and weather conditions. 2017 Constructive Nonsmooth Analysis and Related Topics (dedicated to the memory of V.F. Demyanov) (CNSA). IEEE Press, St. Petersburg, Russia; 2017. p. 1-4. (In Eng.) doi: https://doi.org/10.1109/CNSA.2017.7974017
3. Veremei E.I. Synthesis of multi-objective control laws for ship motion. Gyroscopy and Navigation. 2010; 1(2):119-125. (In Eng.) doi: https://doi.org/10.1134/S2075108710020069
4. Loria A., Fossen T.I., Panteley E.A separation principle for dynamic positioning of ships: Theoretical and experimental results. IEEE Transactions on Control Systems Technology. 2000; 8(2):332-343. (In Eng.) doi: https://doi.org/10.1109/87.826804
5. Veremey E.I., Sotnikova M.V. Optimal filtering correction for marine dynamical positioning control system. Journal of Marine Science and Application. 2016; 15:452-462. (In Eng.) doi: https://doi.org/10.1007/s11804-016-1370-x
6. Liu S., Wang D., Poh E.K., Wang Y. Dynamic positioning of AUVs in shallow water environment: Observer and controller design. Proceedings of the 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Vol. 1. IEEE Press; 2005. p. 705-710. (In Eng.) doi: https://doi.org/10.1109/AIM.2005.1511065
7. Aguiar A.P., Pascoal A. Dynamic positioning and way-point tracking of underactuated AUVs in the presence of ocean currents. International Journal of Control. 2007; 80:1092-1108. (In Eng.) doi: https://doi.org/10.1080/00207170701268882
8. Bandara D., Leong Z., Nguyen H., Jayasinghe S., Forrest A.L. Technologies for under-ice AUV navigation. 2016 IEEE/OES Autonomous Underwater Vehicles (AUV). IEEE Press; 2016. p. 108-114. (In Eng.) doi: https://doi.org/10.1109/AUV.2016.7778657
9. Balchen J.G., Jenssen N.A., Mathisen E., Sælid S. A dynamic positioning system based on Kalman filtering and optimal control. Modeling, Identification and Control. 1980; 1(3):135-163. (In Eng.) doi: https://doi.org/10.4173/mic.1980.3.1
10. Sotnikova M.V., Veremey E.I. Algorithms for Motion Optimization on a Given Trajectory Taking into Account Weather Forecast and Constraints. IFAC-PapersOnLine. 2018; 51(32):389-394. (In Eng.) doi: https://doi.org/10.1016/j.ifacol.2018.11.415
11. Viegas D., Batista P., Oliveira P., Silvestre C. Position and velocity filters for ASC/I-AUV tandems based on single range measurements. Journal of Intelligent & Robotic Systems. 2014; 74:745-768. (In Eng.) doi: https://doi.org/10.1007/s10846-013-9876-9
12. Desai R.P., Manjarekar N.S. Disturbance observer based sliding mode control for lateral motion of an AUV. 2021 Seventh Indian Control Conference (ICC). IEEE Press; 2021. p. 1-6. (In Eng.) doi: https://doi.org/10.1109/ICC54714.2021.9703168
13. Fossen T.I. Guidance and Control of Ocean Vehicles. New York: John Wiley & Sons; 1994. 494 p. (In Eng.)
14. Desai R.P., Manjarekar N.S. Controller Design for Steering and Diving Model of an AUV. In: Sanyal G., Travieso-González C.M., Awasthi S., Pinto C.M., Purushothama B.R. (eds.). International Conference on Artificial Intelligence and Sustainable Engineering. Lecture Notes in Electrical Engineering. Vol. 837. Springer, Singapore; 2022. (In Eng.) doi: https://doi.org/10.1007/978-981-16-8546-0_21
15. Petrich J., Stilwell D.J. Model simplification for AUV pitch-axis control design. Ocean Engineering. 2010; 37:638-651. (In Eng.) doi: https://doi.org/10.1016/j.oceaneng.2009.11.007
16. Zavislak C., Keow A., Chen Z., Ghorbel F. AUV buoyancy control with hard and soft actuators. 2021 American Control Conference (ACC). IEEE Press; 2021. p. 1420-1425. (In Eng.) doi: https://doi.org/10.23919/ACC50511.2021.9483109
17. Qi Z., Su Y. Research on integrated roll and yaw control strategy for AUV diving near surface. 2021 40th Chinese Control Conference (CCC). IEEE Press; 2021. p. 2339-2343. (In Eng.) doi: https://doi.org/10.23919/CCC52363.2021.9549645
18. Desai R.P., Manjarekar N.S. Pitch channel tracking control of an autonomous underwater vehicle with delayed output. 2021 IEEE 18th India Council International Conference (INDICON). IEEE Press; 2021. p. 1-6. (In Eng.) doi: https://doi.org/10.1109/INDICON52576.2021.9691723
19. Bhattacharya D., Puttamadappa C. An effective pitch control technique for unmanned underwater vehicles based on type 2 fuzzy logic controller. 2021 International Conference on Computational Performance Evaluation (ComPE). IEEE Press; 2021. p. 180-187. (In Eng.) doi: https://doi.org/10.1109/ComPE53109.2021.9752186
20. Siddhartha V., Mahapatra S. Design of a state derivative optimal control law using LMI technique for diving motion of autonomous underwater vehicle. 2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP). IEEE Press; 2022. p. 1-5. (In Eng.) doi: https://doi.org/10.1109/AISP53593.2022.9760550
21. Desai R.P., Manjarekar N.S. Yaw channel control of an autonomous underwater vehicle using sliding mode control based on an extended state observer. OCEANS 2022 – Chennai. IEEE Press; 2022. p. 1-8. (In Eng.) doi: https://doi.org/10.1109/OCEANSChennai45887.2022.9775300
22. Wei Z., Hongtao W., Xinqian B., Zheping Y., Guoqing X. The application of self-tuning fuzzy PID control method to recovering AUV. 2012 Oceans. IEEE Press; 2012. p. 1-5. (In Eng.) doi: https://doi.org/10.1109/OCEANS.2012.6404908
23. Alonge F., D'Ippolito F., Raimondi F.M. Trajectory tracking of underactuated underwater vehicles. Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228). Vol. 5. IEEE Press; 2001. p. 4421-4426. (In Eng.) doi: https://doi.org/10.1109/CDC.2001.980898
24. Liu S., Wang D., Poh E.K. A nonlinear observer for AUVs in shallow water environment. 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE Press; 2004. Vol. 2. p. 1130-1135. (In Eng.) doi: https://doi.org/10.1109/IROS.2004.1389548
25. Essaouari Y., Turetta A. Cooperative underwater mission: Offshore seismic data acquisition using multiple autonomous underwater vehicles. 2016 IEEE/OES Autonomous Underwater Vehicles (AUV). IEEE Press; 2016. p. 435-438. (In Eng.) doi: https://doi.org/10.1109/AUV.2016.7778709
Published
2022-03-31
How to Cite
LITVISHKO, Irina Romanovna. Dynamic Positioning of Autonomous Underwater Vehicle in Shallow Water under the Influence of External Disturbances. Modern Information Technologies and IT-Education, [S.l.], v. 18, n. 1, p. 72-82, mar. 2022. ISSN 2411-1473. Available at: <http://sitito.cs.msu.ru/index.php/SITITO/article/view/844>. Date accessed: 09 oct. 2025. doi: https://doi.org/10.25559/SITITO.18.202201.72-82.
Section
Cognitive information technologies in control systems