Abstract
In this paper, a virtual online simulator is designed for the docking simulation task of Unmanned Underwater Vehicle (UUV), which provides an economic way to evaluate the reliability of related algorithms before the real underwater test. The host and lower computers are selected with several units’ design to send and receive the data via TCP/IP communication in the virtual online simulator. The host computer runs the simulink control program, which calculates the mathematical model, monitors the state of UUV, and simulates or interacts with the real sensor during the docking process. The host computer runs the unity simulation software, which obtains the data from the lower computer, and implements the navigation and control of the UUV. The virtual docking scene is designed to display the simulation of UUV on the screen, and four different navigation modes are designed to implement the experiment with motion verification and underwater docking for the UUV. The experiment results show that the designed virtual online simulator can achieve the simulation of docking task in a lower cost.
Supported by National Natural Science Foundation of China (Nos. 52075476 and 92048302).
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References
Wang, J., Chen, X., Yang, P.: Adaptive H-infinite Kalman filter based on multiple fading factors and its application in unmanned underwater vehicle. ISA Trans. 108, 295–304 (2021)
Chen, Z., Li, C., Yao, B., Yuan, M., Yang, C.: Integrated coordinated/synchronized contouring control of a dual-linear-motor-driven gantry. IEEE Trans. Ind. Electron. 67(5), 3944–3954 (2020)
Chen, Z., Huang, F., Yang, C., Yao, B.: Adaptive fuzzy backstepping control for stable nonlinear bilateral teleoperation manipulators with enhanced transparency performance. IEEE Trans. Ind. Electron. 67(1), 746–756 (2020)
Sun, W., Tang, S., Gao, H., Zhao, J.: Two time-scale tracking control of nonholonomic wheeled mobile robots. IEEE Trans. Control Syst. Technol. 24(6), 2059–2069 (2016)
Yao, J., Deng, W.: Active disturbance rejection adaptive control of hydraulic servo systems. IEEE Trans. Ind. Electron. 64(10), 8023–8032 (2017)
Yuan, M., Chen, Z., Yao, B., Hu, J.: A general online trajectory planning framework in the case of desired function unknown in advance. IEEE Trans. Ind. Inf. 15(5), 2753–2762 (2019)
Lin, C., Han, G., Du, J., Bi, Y., Shu, L., Fan, K.: A path planning scheme for AUV flock-based internet-of-underwater-things systems to enable transparent and smart ocean. IEEE Internet Things J. 7(10), 9760–9772 (2020)
Mu, X., He, B., Wu, S., Zhang, X., Song, Y., Yan, T.: A practical INS/GPS/DVL/PS integrated navigation algorithm and its application on Autonomous Underwater Vehicle. Appl. Ocean Res. 106, 102441 (2021)
Wang, T., Zhao, Q., Yang, C.: Visual navigation and docking for a planar type AUV docking and charging system. Ocean Eng. 224, 108744 (2021)
Sahoo, A., Dwivedy, S.K., Robi, P.S.: Advancements in the field of autonomous underwater vehicle. Ocean Eng. 181, 145–160 (2019)
Melo, J., Matos, A.: A survey on advances on terrain based navigation for autonomous underwater vehicles. Ocean Eng. 139, 250–264 (2017)
Zhang, W., Teng, Y., Wei, S., Xiong, H., Ren, H.: The robust H-infinity control of UUV with Riccati equation solution interpolation. Ocean Eng. 156, 252–262 (2018)
Qi, X., Xiang, P., Cai, Z.: Spatial target path following and coordinated control of multiple UUVs. Int. J. Naval Archit. Ocean Eng. 12, 832–842 (2020)
Makavita, C.D., Jayasinghe, S.G., Nguyen, H.D., Ranmuthugala, D.: Experimental study of a command governor adaptive depth controller for an unmanned underwater vehicle. Appl. Ocean Res. 86, 61–72 (2019)
Nagao, R., Matsumoto, K., Narumi, T., Tanikawa, T., Hirose, M.: Ascending and descending in virtual reality: simple and safe system using passive haptics. IEEE Trans. Visual Comput. Graphics 24(4), 1584–1593 (2018)
Wang, Q., Jiao, W., Yu, R., Johnson, M.T., Zhang, Y.: Virtual reality robot-assisted welding based on human intention recognition. IEEE Trans. Autom. Sci. Eng. 17(2), 799–808 (2020)
Faure, C., et al.: Adding haptic feedback to virtual environments with a cable-driven robot improves upper limb spatio-temporal parameters during a manual handling task. IEEE Trans. Neural Syst. Rehabil. Eng. 28(10), 2246–2254 (2020)
Kluger, D.T., et al.: Virtual reality provides an effective platform for functional evaluations of closed-loop neuromyoelectric control. IEEE Trans. Neural Syst. Rehabil. Eng. 27(5), 876–886 (2019)
Lipton, J.I., Fay, A.J., Rus, D.: Baxter’s homunculus: virtual reality spaces for teleoperation in manufacturing. IEEE Robot. Autom. Lett. 3(1), 179–186 (2018)
Monferrer, A., Bonyuet, D.: Cooperative robot teleoperation through virtual reality interfaces. In: Proceedings Sixth International Conference on Information Visualisation, pp. 243–248 (2002)
de la Cruz, M., Casan, G.A., Sanz, P.J., Marín, R.: A new virtual reality interface for underwater intervention missions. IFAC-PapersOnLine 53(2), 14600–14607 (2020)
Bukhari, A.C., Kim, Y.G.: A research on an intelligent multipurpose fuzzy semantic enhanced 3D virtual reality simulator for complex maritime missions. Appl. Intell. 38(2), 193–209 (2013)
Nie, Y., Luan, X., Gan, W., Ou, T., Song, D.: Design of marine virtual simulation experiment platform based on Unity3D. In: Global Oceans 2020: Singapore-U.S. Gulf Coast, pp. 1–5 (2020)
Wang, F., Wan, L., Su, Y., et al.: AUV modeling and motion control strategy design. J. Mar. Sci. Appl. 9, 379–385 (2010)
Kong, F., Guo, Y., Lyu, W.: Dynamics modeling and motion control of an new unmanned underwater vehicle. IEEE Access 8, 30119–30126 (2020)
Funding
This work is supported by Natural Science Foundation of Zhejiang Province (No. LR23E050001), National Natural Science Foundation of China (No. 52075476), Science Foundation of Donghai Laboratory (No. DH-2022KF01006), and Fundamental Research Funds for the Central Universities (2022FZZX01-06).
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Huang, F., Yan, T., Chen, Z. (2023). A Virtual Online Simulator Design for the Docking of Unmanned Underwater Vehicle. In: Petrovic, I., Menegatti, E., Marković, I. (eds) Intelligent Autonomous Systems 17. IAS 2022. Lecture Notes in Networks and Systems, vol 577. Springer, Cham. https://doi.org/10.1007/978-3-031-22216-0_55
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