Abstract
This paper investigates the motion control problem in the vertical plane of an underwater towed vehicle with multiple bow and stern elevators, in order to track the depth or the sea-bottom terrain while maintaining the desired pitch angle simultaneously. First, the dynamic model of the towed vehicle is established to illustrate the dynamic effects of bow and stern elevators on the vertical position and pitch angle, respectively. Second, based on the nominal model, a finite-time fuzzy adaptive control scheme is designed to deal with the control problem of two inputs from multiple elevators and two outputs for the vertical motion states. To reject uncertainties such as model uncertainty and external disturbances, robust and adaptive backstepping control laws are designed. Meanwhile, fuzzy approximation technique is employed to estimate the hydrodynamic terms. Based on the Lyapunov theory, the stability of the proposed control scheme is analyzed in detail. Finally, numerical simulation results show that the control laws guarantee the simultaneously tracking and pitch control in the presence of disturbance and enable the towed vehicle to follow the bottom terrain for the near-seabed survey mission.







Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Karimi, H.R., Lu, Y.: Guidance and control methodologies for marine vehicles: a survey. Control Eng. Pract. 111(104), 785 (2021). https://doi.org/10.1016/j.conengprac.2021.104785
Wang, N., Xu, H., Li, C., Yin, J.: Hierarchical path planning of unmanned surface vehicles: a fuzzy artificial potential field approach. Int. J. Fuzzy Syst. 23(6), 1797–1808 (2021). https://doi.org/10.1007/s40815-020-00912-y
Paley, D.A., Zhang, F., Leonard, N.E.: Cooperative control for ocean sampling: the glider coordinated control system. IEEE Trans. Control Syst. Technol. 16(4), 735–744 (2008). https://doi.org/10.1109/TCST.2007.912238
Xiang, G., Xiang, X.: 3D trajectory optimization of the slender body freely falling through water using cuckoo search algorithm. Ocean Eng. 235(109), 354 (2021). https://doi.org/10.1016/j.oceaneng.2021.109354
Wang, Z., Yang, S., Xiang, X., Vasilijević, A., Mišković, N., Nad, D.: Cloud-based mission control of USV fleet: architecture, implementation and experiments. Control Eng. Pract. 106(104), 657 (2021). https://doi.org/10.1016/j.conengprac.2020.104657
Peng, Z., Wang, J., Wang, D., Han, Q.L.: An overview of recent advances in coordinated control of multiple autonomous surface vehicles. IEEE Trans. Ind. Inform. 3203(C), 1 (2020). https://doi.org/10.1109/tii.2020.3004343
Zhang, Q., Zhang, J., Chemori, A.: Virtual submerged floating operational system for robotic manipulation. Complexity 9528, 313 (2018). https://doi.org/10.1155/2018/9528313
Nakamura, M., Kajiwara, H., Koterayama, W.: Development of an ROV operated both as towed and self-propulsive vehicle. Ocean Eng. 28(1), 1–43 (2001). https://doi.org/10.1016/S0029-8018(99)00058-X
Choi, J.K., Shiraishi, T., Tanaka, T., Kondo, H.: Safe operation of an autonomous underwater towed vehicle: towed force monitoring and control. Autom. Constr. 20(8), 1012–1019 (2011). https://doi.org/10.1016/j.autcon.2011.04.002
Nomoto, M., Tsuji, Y., Misumi, A., Emura, T.: An advanced underwater towed vehicle for oceanographic measurements. In: Oceanology, pp. 79–87. Springer, Berlin (1986)
Schuch, E.M., Linklater, A.C., Lambeth, N.W., Woolsey, C.A.: Design and simulation of a two stage towing system. In: Proceedings of OCEANS 2005 MTS/IEEE, pp. 1705–1712. IEEE (2005). https://doi.org/10.1109/OCEANS.2005.1640001
Zhang, J., Xiang, X., Li, W.: Advances in marine intelligent electromagnetic detection system, technology and applications: a review. IEEE Sens. J. (2021). https://doi.org/10.1109/JSEN.2021.3129286
Preston, J.M., Poeckert, R.: Distortion and break-up of sidescan images-criteria and reconstruction by geocoding. In: Proceedings of OCEANS’93, pp. I371–I377. IEEE (1993). https://doi.org/10.1109/OCEANS.1993.325981
Woolsey, C.A., Gargett, A.E.: Passive and active attitude stabilization for a tow-fish. In: Proceedings of the 41st IEEE Conference on Decision and Control, 2002, vol. 2, pp. 2099–2104. IEEE (2002). https://doi.org/10.1109/CDC.2002.1184839
Kato, N.: Underwater towed vehicle maneuverable in both vertical and horizontal axis. In: The First International Offshore and Polar Engineering Conference. OnePetro (1991)
Teixeira, F.C., Aguiar, A.P., Pascoal, A.: Nonlinear adaptive control of an underwater towed vehicle. Ocean Eng. 37(13), 1193–1220 (2010). https://doi.org/10.1016/j.oceaneng.2010.05.010
Li, S., Wang, X.: Finite-time consensus and collision avoidance control algorithms for multiple AUVs. Automatica 49(11), 3359–3367 (2013). https://doi.org/10.1016/j.automatica.2013.08.003
Wang, N., Su, S.F.: Finite-time unknown observer-based interactive trajectory tracking control of asymmetric underactuated surface vehicles. IEEE Trans. Control Syst. Technol. 29 (2), 794–803 (2019). https://doi.org/10.1109/TCST.2019.2955657
Wang, N., He, H.: Dynamics-level finite-time fuzzy monocular visual servo of an unmanned surface vehicle. IEEE Trans. Ind. Electron. 67(11), 9648–9658 (2019). https://doi.org/10.1109/TIE.2019.2952786
Guan, Z., Liu, H., Zheng, Z., Lungu, M., Ma, Y.: Fixed-time control for automatic carrier landing with disturbance. Aerosp. Sci. Technol. 108(106), 403 (2021). https://doi.org/10.1016/j.ast.2020.106403
Huang, Y., Zhu, M., Zheng, Z.: Output-constrained fixed-time control for autonomous ship landing of helicopters. ISA Trans. 106, 221–232 (2020). https://doi.org/10.1016/j.isatra.2020.07.008
Abkowitz, M.A.: Stability and Motion Control of Ocean Vehicles, Card Nr 70-93041. Massachusetts Institute of Technology, MIT, The MIT Press, Cambridge (1969)
Qin, H., Yang, H., Sun, Y., Zhang, Y.: Adaptive interval type-2 fuzzy fixed-time control for underwater walking robot with error constraints and actuator faults using prescribed performance terminal sliding-mode surfaces. Int. J. Fuzzy Syst. 23(4), 62199–63211 (2019). https://doi.org/10.1007/s40815-020-00949-z
Liu, Y., Liu, X., Jing, Y., Zhang, Z.: A novel finite-time adaptive fuzzy tracking control scheme for nonstrict feedback systems. IEEE Trans. Fuzzy Syst. 27(4), 646–658 (2019). https://doi.org/10.1109/TFUZZ.2018.2866264
Wang, F., Chen, B., Liu, X., Lin, C.: Finite-time adaptive fuzzy tracking control design for nonlinear systems. IEEE Trans. Fuzzy Syst. 26(3), 1207–1216 (2018). https://doi.org/10.1109/TFUZZ.2017.2717804
Sun, K., Jianbin, Q., Karimi, H.R., Fu, Y.: Event-triggered robust fuzzy adaptive finite-time control of nonlinear systems with prescribed performance. IEEE Trans. Fuzzy Syst. 6706(C), 1 (2020). https://doi.org/10.1109/tfuzz.2020.2979129
Li, J., Xiang, X., Yang, S.: Robust adaptive neural network control for dynamic positioning of marine vessels with prescribed performance under model uncertainties and input saturation. Neurocomputing (2021). https://doi.org/10.1016/j.neucom.2021.03.136
Zhu, C., Huang, B., Zhou, B., Su, Y., Zhang, E.: Adaptive model-parameter-free fault-tolerant trajectory tracking control for autonomous underwater vehicles. ISA Trans. 114, 57–71 (2021). https://doi.org/10.1016/j.isatra.2020.12.059
Yamaguchi, S., Koterayama, W., Yokobiki, T.: Development of a motion control method for a towed vehicle with a long cable. In: Proceedings of the 2000 International Symposium on Underwater Technology, pp. 491–496. IEEE (2000). https://doi.org/10.1109/UT.2000.852593
Toda, M.: A theoretic analysis of a control system structure of towed underwater vehicles. In: Proceedings of the 44th IEEE Conference on Decision and Control, pp. 7526–7533. IEEE (2005). https://doi.org/10.1109/CDC.2005.1583376
Yu, C., Xiang, X., Wilson, P.A., Zhang, Q.: Guidance-error-based robust fuzzy adaptive control for bottom following of a flight-style AUV with saturated actuator dynamics. IEEE Trans. Cybern. 50(5), 1887–1899 (2019). https://doi.org/10.1109/TCYB.2018.2890582
Acknowledgements
This work is supported by National Natural Science Foundation of China (under Grant Nos. 52071153 and 5213000376), in part by the Fundamental Research Funds for the Central Universities (under Grant No. 2021yjsCXCY012).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Liu, C., Li, J., Yang, S. et al. Simultaneously Tracking and Pitch Control of Underwater Towed Vehicle with Multiple Elevators: A Finite-Time Fuzzy Approach. Int. J. Fuzzy Syst. 25, 264–274 (2023). https://doi.org/10.1007/s40815-022-01270-7
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40815-022-01270-7