Multiple Unmanned Aerial Vehicle Task Allocation Based on Cloud Mode

نویسندگان

  • Xia Chen
  • Dehui Wang
چکیده

For multimulti-unmanned aerial vehicle (UAV) air combat decision problems, this paper proposes a multi-UAV task allocation method based on cloud model. Firstly, we analyses air combat situation advantage of random and fuzzy information. The cloud model is applied to multi-UAV task allocation. We establish air combat superiority index model based on cloud model. And then through comprehensive cloud generation algorithm, we establish combat situation advantages of comprehensive cloud model based on cloud model and present multi-UAV task assignment method based on comprehensive cloud model. Finally, the simulation verification indicate: To evaluate air combat advantage using cloud model, we can get precise and credible combat situation advantage, thus, we get more scientific and reliable multi-UAV task assignment.

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تاریخ انتشار 2015