Optics and Precision Engineering, Volume. 31, Issue 23, 3504(2023)

Transport robot integrating multi channel optical sensing and variable integral pid algorithm

Wenhao LI1...2, Yufei TAN1,2, Dengke ZHOU1, Yunbai QIN1,2,* and Jiaxing YANG1 |Show fewer author(s)
Author Affiliations
  • 1College of Electronic and Information Engineering, Guangxi Normal University, Guilin54004, China
  • 2Intelligent Robot Laboratory, Guangxi Normal University, Guilin541004, China
  • show less
    Figures & Tables(21)
    Framework of intelligent photoelectric handling robot
    Photos of intelligent photoelectric handling robot
    Structure of bottom plate
    Structure of top plate
    Structure of loading platform
    Schematic diagram of grayscale sensor
    Schematic diagram of BTN8982TA
    Flowchart of intelligent optoelectric handling robot
    Schematic diagram of incremental PID control algorithm
    Comparison between variable integral PID algorithm and ordinary PID algorithm
    Comparison of trajectory with different PID parameters
    Map for handling testing
    Flowchart of task 1
    Flowchart of task 2
    Test of intelligent photoelectric handling robot
    • Table 1. Weighting coefficients for each sensor after obtaining data

      View table
      View in Article

      Table 1. Weighting coefficients for each sensor after obtaining data

      编号加权系数编号加权系数
      β12β115
      β22β125
      β32β133
      β42β143
      β52β155
      β62β165
      β72β171
      β82β181
      β93β1910
      β103β2010
    • Table 2. Maximum convergence distance and number of derailments for three sensors

      View table
      View in Article

      Table 2. Maximum convergence distance and number of derailments for three sensors

      传感器收敛距离/cm脱轨次数
      室内室外室内室外
      红外传感器240410815
      灰度传感器508525
      激光传感器101000
    • Table 3. Accuracy and duration of two tracking methods in task 1

      View table
      View in Article

      Table 3. Accuracy and duration of two tracking methods in task 1

      方案物块掉落次数/测试总数物块摆放位置平均时长
      0次/20次全完全放入00:01:22
      2次/20次3次未完全放入00:01:39
    • Table 4. Time test for task 1 in different color sequences

      View table
      View in Article

      Table 4. Time test for task 1 in different color sequences

      物块颜色顺序平均用时
      1234
      绿00:01:12
      绿00:01:15
      绿00:01:22
      绿00:01:25
      00:01:41
      绿00:01:33
      绿00:01:37
      00:01:45
    • Table 5. Accuracy and duration of three tracking methods in task 2

      View table
      View in Article

      Table 5. Accuracy and duration of three tracking methods in task 2

      方案物块掉落次数/测试总数物块摆放位置平均时长
      0次/20次5次未完全放入00:01:35
      1次/20次1次未完全放入00:01:30
      0次/20次全部完全放入00:01:21
    • Table 6. Test data for each project

      View table
      View in Article

      Table 6. Test data for each project

      任 务

      测试

      次数

      成功

      次数

      准确率/满分率
      搬运后放置物块1010100%
      二维码识别1010100%
      颜色识别1010100%
      机械臂抓取物块1010100%
      机器人全程循迹1010100%
    Tools

    Get Citation

    Copy Citation Text

    Wenhao LI, Yufei TAN, Dengke ZHOU, Yunbai QIN, Jiaxing YANG. Transport robot integrating multi channel optical sensing and variable integral pid algorithm[J]. Optics and Precision Engineering, 2023, 31(23): 3504

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Jul. 14, 2023

    Accepted: --

    Published Online: Jan. 5, 2024

    The Author Email: QIN Yunbai (qinyunbai@gxnu.edu.cn)

    DOI:10.37188/OPE.20233123.3504

    Topics