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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2023, Vol. 44 ›› Issue (7): 327100-327100.doi: 10.7527/S1000-6893.2022.27100

• Electronics and Electrical Engineering and Control • Previous Articles     Next Articles

Modular UAVs configuration method responded to task requirements

Heye XIAO1, Jianfeng YANG2, Junqiang BAI1(), Xudong ZHANG3, Lirong WU3   

  1. 1.Unmanned System Research Institute,Northwestern Polytechnical University,Xi’an 710072,China
    2.95889 Troop of PLA,Jiuquan 735018,China
    3.96236 Troop of PLA,Beijing 100085,China
  • Received:2022-03-04 Revised:2022-03-16 Accepted:2022-06-23 Online:2023-04-15 Published:2022-07-08
  • Contact: Junqiang BAI E-mail:Junqiang@nwpu.edu.cn
  • Supported by:
    National Level Project

Abstract:

A configuration method for constructing modular Unmanned Aerial Vehicles (UAVs) is proposed to meet their mission requirements under cost constraints. Firstly, the set of mission requirements and module alternative elements are constructed. The correlation between mission requirements and module alternative elements is established. A demand satisfaction evaluation algorithm is built by selecting the overall costs of UAVs as the constraint condition. The particle swarm optimization algorithm is introduced to obtain the optimal configuration plan of the special-use UAV modules in the evaluation model. A numerical example is given to illustrate the difference between the proposed algorithm and the genetic algorithms. The results of the proposed method agree with those of the genetic algorithms. Then, a mission scenario is selected as an example, and the disposable UAVs are planned to be used in this mission. The modular configuration plans of three types of UAVs are constructed by the proposed method, restrained by the predetermined cost. The these plans show good agreements with the parameter configuration of disposable UAVs in previous studies. The rationality of the proposed configuration method is verified according to the calculation results of cost of each plan. Therefore, the modular UAVs configuration method can be used to achieve collaborative match of the performance of UAVs with the cost and task requirements of UAVs. Furthermore, single UAV cost and task cost of UAVs with different plans, which are obtained by the proposed configuration methods, are compared. The effects of configuration selections on the cost of single UAVs and swam UAVs are discussed. It is concluded that the proposed configuration algorithm can be used to control the cost of a single UAV and swarm UAVs.

Key words: UAV configuration method, modular UAV, cost control, demand satisfaction evaluation model, particle swarm optimization method

CLC Number: