4.7 Article

Multiple UAVs/UGVs heterogeneous coordinated technique based on Receding Horizon Control (RHC) and velocity vector control

Journal

SCIENCE CHINA-TECHNOLOGICAL SCIENCES
Volume 54, Issue 4, Pages 869-876

Publisher

SCIENCE PRESS
DOI: 10.1007/s11431-010-4243-6

Keywords

unmanned air vehicle (UAV); unmanned ground vehicle (UGV); Receding Horizon Control (RHC); Particle Swarm Optimization (PSO); velocity vector control

Funding

  1. National Natural Science Foundation of China [60975072, 60604009]
  2. Aeronautical Science Foundation of China [2008ZC01006]
  3. University of China [NCET-10-0021]
  4. Fundamental Research Funds for the Central Universities of China [YWF-10-01-A18]
  5. Beijing NOVA Program Foundation [2007A017]
  6. State Key Laboratory of Virtual Reality Technology and Systems
  7. Provincial Key Laboratory for Information Processing Technology, Suzhou University, China [KJS1020]

Ask authors/readers for more resources

Multiple unmanned air vehicles (UAVs)/unmanned ground vehicles (UGVs) heterogeneous cooperation provides a new breakthrough for the effective application of UAV and UGV. On the basis of introduction of UAV/UGV mathematical model, the characteristics of heterogeneous flocking is analyzed in detail. Two key issues are considered in multi-UGV subgroups, which are Reynolds Rule and Virtual Leader (VL). Receding Horizon Control (RHC) with Particle Swarm Optimization (PSO) is proposed for multiple UGVs flocking, and velocity vector control approach is adopted for multiple UAVs flocking. Then, multiple UAVs and UGVs heterogeneous tracking can be achieved by these two approaches. The feasibility and effectiveness of our proposed method are verified by comparative experiments with artificial potential field method.

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