计算机集成制造系统 ›› 2018, Vol. 24 ›› Issue (第12): 3129-3135.DOI: 10.13196/j.cims.2018.12.020

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基于射频识别库存管理的无人机三维路径规划

鲁建厦1,2,赵林斌1,汤洪涛1   

  1. 1.浙江工业大学机械工程学院
    2.浙江汇智物流装备技术有限公司
  • 出版日期:2018-12-31 发布日期:2018-12-31
  • 基金资助:
    浙江省自然科学基金资助项目(LY15G010009),浙江省重点研发计划资助项目(2018C01003),特种装备制造与先进加工技术教育部/浙江省重点实验室开放基金资助项目(EM2017120104)。

Three dimensional path planning on unmanned aerial vehicle based on radio frequency identification inventory management

  • Online:2018-12-31 Published:2018-12-31
  • Supported by:
    Project supported by the Zhengjiang Provincial Natural Science Foundation,China(No.LY15G010009),the Zhengjiang Provincial Key Research and Development Plan,China(No.2018C01003),and the Key Laboratory of E&M (Zhejiang University of Technology),Ministry of Education & Zhejiang Province Plan,China(No.EM2017120104).

摘要: 为了提高无人机搭载读写器的盘点效率,规避无人机无效的盘点飞行,减少盘点飞行路径,提出一种基于射频识别库存管理的无人机三维路径规划方法。首先在三维空间搭建一个飞行网络模型,并建立相应的坐标系;然后通过搭建危险壁障的适应度函数、射频识别读写器识别的适应度函数和路径最小适应度函数来构造目标函数,确保无人机能够在采集到每个在制品库存信息的前提下求得目标函数的最小值。采用基于二次差分进化的混合蝙蝠算法对目标函数进行求解,获得全局最优的飞行路径。通过仿真验证了该方法全局搜索能力较好,鲁棒性强。

关键词: 无人机, 射频识别, 信息采集, 三维路径规划, 二次差分进化, 混合蝙蝠算法

Abstract: To improve the efficiency of Unmanned Aerial Vehicle (UAV) carrying Radio Frequency Identification (RFID) readers,and to avoid the UAV invalid inventory flight for reducing the inventory flight path,a three dimensional path planning method of UAV based on RFID inventory management was proposed in collecting product information.In this method,a flight network model in three dimensional spaces and the relative coordinate system were established.To ensure every product information could be collected by UAV,the minimum value of objective function was obtained by constructing the fitness function of dangerous barriers constraint,RFID reader's indentation and path minimum.The optimal flight path was gained with hybrid bat algorithm of quadratic differential evolution which could solve the objective function.The good global search ability and strong robustness of the proposed method were verified by simulation.

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