Systems Engineering and Electronics ›› 2022, Vol. 44 ›› Issue (11): 3505-3514.doi: 10.12305/j.issn.1001-506X.2022.11.26

• Guidance, Navigation and Control • Previous Articles     Next Articles

UAV online trajectory planning based on MOEA/D-ARMS

Hanyang WANG1, Liang CHEN2,*, Hai XU2, Jingbo BAI1   

  1. 1. College of Field Engineering, Army Engineering University, Nanjing 210007, China
    2. Automobile NCO Academy, Army Military Transportation University, Bengbu 233011, China
  • Received:2021-07-06 Online:2022-10-26 Published:2022-10-29
  • Contact: Liang CHEN

Abstract:

Unmanned aerial vehicle (UAV) online trajectory planning is one of the key technologies of UAV collaborative control. The problem of online trajectory planning is essentially a dynamic multi-objective optimization problem. To solve this problem, a dynamic multi-objective evolutionry algorithm based on decomposition-adaptive reaction mechanism selection (MOEA/D-ARMS) is proposed. A variety of response mechanisms constitute a response mechanism pool. The response mechanism is given a certain reward based on the most recent overall performance of the response mechanism, and the response mechanism is selected from the response mechanism pool using a probability-based method. MOEA/D-ARMS is applied to four simulation instances, such as static environment instance, sudden threat instance, mutation threat instance and preference change instance. The simulation results demonstrate MOEA/D-ARMS is effective in solving the UAV online trajectory planning problem.

Key words: unmanned aerial vehicle (UAV), trajectory planning, dynamic multi-objective evolutionary algorithm (DMEA), adaptive selection

CLC Number: 

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