Task assignment for a multi-AUV system under kinematic constraint

被引:0
|
作者
Li X. [1 ]
Zhu D. [1 ]
Xu K. [1 ]
机构
[1] Laboratory of Underwater Vehicles and Intelligent Systems, Shanghai Maritime University, Shanghai
来源
Zhu, Daqi (zdq367@aliyun.com) | 1638年 / Editorial Board of Journal of Harbin Engineering卷 / 37期
关键词
Autonomous underwater vehicles(AUV); Dubins Path; Kinematical constraints; Multi-task assignment; Path planning; Self-organizing map; Workload balance;
D O I
10.11990/jheu.201510019
中图分类号
学科分类号
摘要
To solve the task assignment and path planning problems of a system with multiple autonomous underwater vehicles (AUVs), a multi-AUV task assignment algorithm under kinematic constraints is proposed, which combines the Dubins Path algorithm with an improved SOM(self-organizing map) neural network algorithm. The tasks were first assigned by the SOM neural network. If there were kinematic constraints or obstacles that led to the failure of Dubins path-planning, task re-assignment was implemented until the AUVs reached all the target points. Simulation results show that the algorithm can effectively accomplish task assignments for a multi-AUV system under kinematic constraints. © 2016, Editorial Department of Journal of HEU. All right reserved.
引用
收藏
页码:1638 / 1644
页数:6
相关论文
共 20 条
  • [11] Zhu D., Huang H., Yang S.Y., Dynamic task assignment and path planning of multi-AUV system based on an improved self-organizing map and velocity synthesis method in three-dimensional underwater workspace, IEEE Transactions On Cybernetics, 43, 2, pp. 504-514, (2013)
  • [12] Jiang K., Seneviratne L.D., Earles S.W.E., A shortest path based path planning algorithm for nonholonomic mobile robots, Journal Of Intelligent And Robotic Systems, 24, 4, pp. 347-366, (1999)
  • [13] Mansor M.A., Morris A.S., Path planning in unknown environment with obstacles using virtual window, Journal Of Intelligent And Robotic Systems, 24, 3, pp. 235-251, (1999)
  • [14] Leng J., Liu J., Xu H., Online path planning of an unmanned surface vehicle for real-time collision avoidance, CAAI Transactions On Intelligent Systems, 10, 3, pp. 343-348, (2015)
  • [15] Chen C., Tang J., Jin Z., Et al., A path planning algorithm for seeing eye robots based on V-Graph, Mechanical Science And Technology For Aerospace Engineering, 33, 4, pp. 490-495, (2014)
  • [16] Khatib O., Real-time obstacle avoidance for manipulators and mobile robots, Robotics Research, 5, 1, pp. 90-98, (1986)
  • [17] Sugihara K., GA-based on-line path planning for SAUVIM, Tasks and Methods in Applied Artificial Intelligence: Lecture Notes in Artificial Intelligence, pp. 329-338, (1998)
  • [18] Li T.H.S., Chiang M.S., Jian S.S., Motion planning of an autonomous mobile robot by integrating GAs and fuzzy logic control, Proceedings of the 9th IEEE International Conference on Fuzz Systems, pp. 933-936, (2000)
  • [19] Wu Y., Qiu H., Trajectory planning for unmanned helicopter based on Dubins curves, Computer Engineering And Design, 32, 4, (2011)
  • [20] Liang Y., Zhang Y., Lei J., New method of online fast path planning based Dubins path, Journal Of System Simulation, 25, pp. 291-296, (2013)