基于CCD的循迹机器人小车模糊控制方法研究与实现
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  • 英文篇名:Research and realization of CCD camera based fuzzy control method for tracking robot car
  • 作者:刘汉忠 ; 俞鹏 ; 谢秦韬
  • 英文作者:LIU Hanzhong;YU Peng;XIE Qintao;School of Automation,Nanjing Institute of Technology;
  • 关键词:CCD摄像头 ; 循迹 ; STM32 ; 模糊控制 ; 控制器 ; 路径识别
  • 英文关键词:CCD camera;;tracking;;STM32;;fuzzy control;;controller;;path recognition
  • 中文刊名:XDDJ
  • 英文刊名:Modern Electronics Technique
  • 机构:南京工程学院自动化学院;
  • 出版日期:2019-04-29 14:05
  • 出版单位:现代电子技术
  • 年:2019
  • 期:v.42;No.536
  • 基金:江苏省科技厅前瞻性联合研究资助项目(BY2016008-07)~~
  • 语种:中文;
  • 页:XDDJ201909023
  • 页数:4
  • CN:09
  • ISSN:61-1224/TN
  • 分类号:103-105+110
摘要
设计一种基于STM32为主控芯片的循迹机器人小车,用CCD摄像头作为路径识别装置,采用边缘检测算法提取路径中线,根据小车的速度与转弯半径,采用模糊控制调节小车左右轮的速度差,达到路径识别与跟踪的目的。设计中通过建立里程计模型把小车的实时理想位置通过蓝牙传送至PC端,PC端通过数据处理将理论轨迹和实际运行轨迹进行对比,实验结果表明,小车可以依靠CCD摄像头很好地识别任意路径轨迹,在不同的运行速度下,模糊控制都有较理想的循迹控制效果。
        A tracking robot car taking STM32 as main control chip is designed,in which CCD camera is deemed as the path recognition device,and the edge detection algorithm is used to extract the path central line. According to the speed and turning radius of the car,the fuzzy control is used to adjust the speed difference of the left and right wheels to achieve the purpose of path recognition and tracking. The real-time ideal position of the robot car is transmitted to the PC end by establishing the odometer model. The theoretical trajectory and actual running trajectory are compared by means of data processing on the PC end. The experimental results show that the robot car can accurately recognize any path by means of CCD camera,and the fuzzy control can obtain the ideal tracking control effect at different running speeds.
引文
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