THE ROLE OF A FUZZY PID ON A MECHATRONICS CONTROL SYSTEM OF AN INDUSTRIAL ROBOT

被引:0
|
作者
Ben Y. [1 ]
机构
[1] School of Electronic and Electrical Engineering, Zibo Vocational Institute, Zibo
关键词
Industrial Transport Robot; Mechatronics Control System; Stability. Fuzzy PID Controller;
D O I
10.17683/IJOMAM/ISSUE10/V2.17
中图分类号
学科分类号
摘要
The purpose is to integrate the fuzzy controller with the traditional PID (Proportion Integral Deferential) controller and apply it to the mechatronics control of industrial robots. Here, the fuzzy controller and the traditional PID controller are innovatively combined based on the working principle of fuzzy controller and traditional PID control. Consequently, the fuzzy PID controller is introduced, and the calculation process is analysed. Then, the mechatronics control system is proposed for the industrial robot and simulated through an industrial transport robot. The results show that the industrial transport robot has a fast response to the grasping operation, but the speed fluctuation is large. The system has an overshoot and a small steady-state error, but the error conforms to the standardized design established by Mamdani. When the robot moves forward and backward, it will move around the set value and stop moving until the system reaches stability. The fluctuation of the system response is small. The speed change value in 10 seconds is between [-0.02,0.01], and there is no significant oscillation. Meanwhile, the response time of the system is short during operation. This shows that the mechatronics control system of industrial robots based on fuzzy PID has strong stability, controlling the transport robot to respond timely and perform stably. © 2021, Cefin Publishing House. All rights reserved.
引用
收藏
页码:145 / 153
页数:8
相关论文
共 50 条
  • [1] Fuzzy PID based adaptive control on industrial robot system
    Krishna, S.
    Vasu, S.
    MATERIALS TODAY-PROCEEDINGS, 2018, 5 (05) : 13055 - 13060
  • [2] EMBEDDED NAVIGATION SYSTEM OF MECHATRONICS ROBOT BY FUZZY CONTROL ALGORITHM
    Wang Y.
    Zhao Y.
    Liang M.
    Zhang K.
    International Journal of Mechatronics and Applied Mechanics, 2023, 2023 (14): : 128 - 136
  • [3] Fuzzy PID Control System In Industrial Environment
    He, Hong
    Li, Yu
    Zhang, Zhi-Hong
    Xu, Xiaojun
    PROCEEDINGS OF THE 2015 INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING CONFERENCE, 2015, 7 : 91 - 95
  • [4] The Research on Visual Industrial Robot Which Adopts Fuzzy PID Control Algorithm
    Feng Yifei
    Lu Guoping
    Yue Lulin
    Jiang Weifeng
    Zhang Ye
    NINTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2016), 2017, 10341
  • [5] RESEARCH ON ADAPTIVE FUZZY PID CONTROL OF MEDICAL ROBOT SPEED CONTROL SYSTEM
    Wang, H. R.
    Ding, J.
    Li, Y.
    Zhong, J. Y.
    Wang, Y.
    Li, Y. F.
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2016, 119 : 40 - 40
  • [6] PID Control and Fuzzy Logic System to the Obstacle Avoidance in an Autonomous Robot
    Meza Solano, Dionicio
    Eusebio Grande, Raul
    Ibarra Bonilla, Mariana N.
    2021 18TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, COMPUTING SCIENCE AND AUTOMATIC CONTROL (CCE 2021), 2021,
  • [7] Study on a Novel Fuzzy PID Control System for the Ellipsoidal Underwater Robot
    Liu, Xueting
    Guo, Shuxiang
    Li, Chunying
    Lei, Qirong
    Nie, Jinglei
    2024 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, ICMA 2024, 2024, : 1502 - 1507
  • [8] Fuzzy adaptive PID control on hydraulic servo system of quadruped robot
    Li, Jie
    Luo, Qing-Sheng
    Wang, Lei
    Chang, Qing
    Journal of Beijing Institute of Technology (English Edition), 2013, 22 (04): : 447 - 453
  • [9] Fuzzy adaptive PID control on hydraulic servo system of quadruped robot
    李杰
    罗庆生
    王雷
    常青
    Journal of Beijing Institute of Technology, 2013, 22 (04) : 447 - 453
  • [10] Stimulating higher order thinking in mechatronics by comparing PID and fuzzy control
    Lowrance, Christopher J.
    Rogers, John R.
    Computers in Education Journal, 2019, 10 (03):