基于无人机的大气污染物模糊控制溯源算法的仿真实现
DOI:
作者:
作者单位:

中国计量大学质量与安全工程学院

作者简介:

通讯作者:

中图分类号:

V279

基金项目:


Simulation Implementation of Fuzzy Control Traceability Algorithm for Air Pollutants Based on Unmanned Aerial Vehicle
Author:
Affiliation:

1.College Of Quality &2.Safety Engineering, China Jiliang University

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对无人机的大气污染物溯源问题,提出了一种基于无人机的大气污染物模糊控制溯源算法。该算法结合无人机与模糊控制的特点,根据无人机实际所处环境设计一个模糊控制器并确定模糊控制器的输入、输出变量,模仿人脑的思维构建了模糊控制规则库,从而实现了无人机对大气污染物的智能溯源。算法在MATLAB环境中进行了仿真实验,仿真结果表明了该算法的有效性和可行性,为解决大气污染物溯源问题提供了一种新的思路。

    Abstract:

    For the traceability problem of air pollutants of unmanned aerial vehicle(UAV), a fuzzy control traceability algorithm for air pollutants based on UAV is proposed. Combining the characteristics of UAV and fuzzy control, this algorithm designs a fuzzy controller according to the actual environment of the UAV and determines the input and output variables of the fuzzy controller. It simulates the thinking of the human brain and constructs a fuzzy control rule base. Using this algorithm can achieve the intelligent traceability to air pollutants by UAV. The algorithm is simulated in MATLAB environment. The simulation results show the effectiveness and feasibility of the algorithm. This algorithm provides a new way to solve the problem of traceability of air pollutants.

    参考文献
    相似文献
    引证文献
引用本文

崔学林,丁涛. 基于无人机的大气污染物模糊控制溯源算法的仿真实现[J]. 科学技术与工程, 2019, 19(35): 370-374.
cui xuelin and. Simulation Implementation of Fuzzy Control Traceability Algorithm for Air Pollutants Based on Unmanned Aerial Vehicle[J]. Science Technology and Engineering,2019,19(35):370-374.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2019-05-23
  • 最后修改日期:2019-08-31
  • 录用日期:2019-07-28
  • 在线发布日期: 2020-01-02
  • 出版日期:
×
律回春渐,新元肇启|《科学技术与工程》编辑部恭祝新岁!
亟待确认版面费归属稿件,敬请作者关注