Abstract
In order to improve the accuracy of the formation control of multiple unmanned vessels, reduce the construction and maintenance costs and the impact of the external environment, and improve the robustness of the formation control method. Based on the hierarchical formation control technology of the navigator method, the formation design and behavior control are carried out respectively. After the formation is formed, the artificial potential field method is used to maintain, and the gravitational field and repulsive field of the virtual navigator and other unmanned ships and the maximum communication distance are considered respectively, and an improved virtual navigator formation control algorithm is obtained. Finally, we conducted formation control experiments. The experimental results show that this paper uses the proposed improved virtual navigator algorithm to conduct formation control and obstacle avoidance experiments, and find that the algorithm has good performance. The formation control method has the characteristics of high accuracy, strong generalization ability, fast control speed, and strong environmental adaptability. It meets the needs of actual formation control of multiple unmanned ships, and the formation control method can be packaged into an intelligent control system. It has the characteristics of flexible deployment and application, strong adaptability, and has the application space for formation control in actual combat with multiple unmanned ships.
Supported by organizations of the National Natural Science Foundation of China (61572228 and 61572226),the Key Development Project of Jilin Province (20180201045GX and 20180201067GX),the Guangdong Key-Project for Applied Fundamental Research (2018KZDXM076),and the Guangdong Premier Key-Discipline Enhancement Scheme (2016GDYSZDXK036).
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References
Wang, B., Li, B., Gao, M., Qin, L.: Summary of cooperative control strategies for unmanned ships. China Water Transp. 19(02), 3–5 (2019)
Deng, Z., Wang, Z., Shen, W., Liu, Y.: Research on formation control and position estimation algorithm of multiple unmanned ships. Mech. Sci. Technol. 1–9 (2021). https://doi.org/10.13433/j.cnki.1003-8728.20200379
Lu, Y.: Research on Adaptive Formation Control Method for Multi-ship Coordination. Shanghai Jiaotong University (2020)
Liu, Y.: Anti-collision Time-Varying Formation Control of Unmanned Ships with Unknown Input Gain. Dalian Maritime University (2020)
Li, H.: Pilot-following the Fixed Time Control of the Unmanned Ship Formation on the Surface. Dalian Maritime University (2020)
Zheng, S.: Research on Target Tracking of Unmanned Rescue Vessel Based on Deep Reinforcement Learning. Dalian Maritime University (2020)
Shen, W.: Design and Implementation of Multiple Unmanned Ship Formation Control System. Nanjing University of Information Science and Technology (2020)
Liu, C., Du, W., Ren, J.: Topological control algorithm of unmanned ship formation based on directional antenna. J. Hainan Univ. 35(02), 106–110 (2017)
Liu, C.: Research on the Topology Control Algorithm of Multi-unmanned Ship Formation Self-organizing Network Based on Directional Antenna. Hainan University (2017)
Xiang, X., et al.: Multi-unmanned-ship Formation System (2017)
Xia, L., Yan, W.: Formation & path tracking control for multiple unmanned ships. In: 2011 2nd International Conference on Intelligent Control and Information Processing, vol. 1, pp. 425–428 (2011)
Bai, W., Yu, J., Jiang, H., Dong, X., Ren, Z.: Robust time-varying formation tracking control of underactuated unmanned vessels. In: 2020 Chinese Automation Congress (CAC), pp. 5015–5020 (2020)
Zhang, L., Liu, Z., Papavassiliou, C., Liu, S.: Formation path control method for group coordination based on fuzzy logic control method. Clust. Comput. 1–14 (2017)
Yang, J., Liu, L., Zhang, Q., Liu, C.: Research on autonomous navigation control of unmanned ship based on unity 3D. In: 2019 5th International Conference on Control, Automation and Robotics (ICCAR), pp. 422–426 (2019)
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Zhao, W., Wang, X., Wu, R., Liu, C., Zhou, H. (2022). Research on Control Algorithm of Unmanned Vessel Formation Based on Multi-agent. In: Pan, L., Cui, Z., Cai, J., Li, L. (eds) Bio-Inspired Computing: Theories and Applications. BIC-TA 2021. Communications in Computer and Information Science, vol 1566. Springer, Singapore. https://doi.org/10.1007/978-981-19-1253-5_27
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DOI: https://doi.org/10.1007/978-981-19-1253-5_27
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