Adaptive-Fuzzy-PID Controller Based Disturbance Observer for DC Motor Speed Control

被引:0
|
作者
Has, Zulfatman [1 ]
Muslim, Ahzen Habibidin [1 ]
Mardiyah, Nur Alif [1 ]
机构
[1] Univ Muhammadiyah Malang, Dept Elect Engn, Malang 65144, Indonesia
关键词
DC motor; adaptive control; fuzzy-PID; disturbance observer; various load; SYSTEMS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
DC motors are one of the most widely used actuators in industry applications. In its use, the reliability of DC motor performance becomes an important prerequisite that must be met. Therefore, a control scheme is required to meet the above performance demands, especially in the transient, steady state, and system stability aspects. The main problems in DC motor control system, especially in terms of speed control, are the occurrence of changes in system parameters and the presence of disturbances such as load changes. This study offers an Adaptive-Fuzzy-PID (AFPID) control scheme equipped with Disturbance Observer (DOb). AFPID scheme plays a role in handling the change of system parameters, while DOb serves to estimate the occurrence of disturbance. The AFPID control scheme was verified experimentally on a DC motor test-rig that was subjected to load-bearing disturbance. The results of the experiments show that the AFPID control scheme with DOb has a better transient response performance than AFPID without DOb, as well as in the ability to compensate the load changes. The combination of AFPID with DOb offers a more stable performance to DC motor has and is more insensitive to disturbance.
引用
收藏
页码:496 / 501
页数:6
相关论文
共 50 条
  • [31] Adaptive PID Controller Using for Speed Control of the BLDC Motor
    Mahmud, Md
    Motakabber, S. M. A.
    Alam, A. H. M. Zahirul
    Nordin, Anis Nurashikin
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON SEMICONDUCTOR ELECTRONICS (ICSE 2020), 2020, : 168 - 171
  • [32] PID and Fuzzy Logic Controllers for DC Motor Speed Control
    Flores-Moran, Eduardo
    Yanez-Pazmino, Wendy
    Espin-Pazmino, Luis
    Molina-Miranda, Maria
    Guzman-Real, Carlos
    [J]. COMPUTER AND COMMUNICATION ENGINEERING, ICCCE 2018, 2019, 959 : 155 - 168
  • [33] Feedback linearization control of permanent magnet linear synchronous motor based on adaptive fuzzy controller and nonlinear disturbance observer
    Zhao X.-M.
    Wang H.-L.
    Zhu W.-B.
    [J]. Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2021, 38 (05): : 595 - 602
  • [34] FLC-Based PID Controller Tuning for Sensorless Speed Control of DC Motor
    Al-Maliki, Abdullah Y.
    Iqbal, Kamran
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), 2018, : 169 - 174
  • [35] Speed Control of DC Motor Using PID Controller Based on Artificial Intelligence Techniques
    Elsrogy, Walaa M.
    Fkirin, M. A.
    Hassan, M. A. Moustafa
    [J]. 2013 INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT), 2013, : 196 - 201
  • [36] Fuzzy Q-Learning Agent for Online Tuning of PID Controller for DC Motor Speed Control
    Kofinas, Panagiotis
    Dounis, Anastasios I.
    [J]. ALGORITHMS, 2018, 11 (10):
  • [37] DC Motor Speed Control using Fuzzy Logic Controller
    Ismail, N. L.
    Zakaria, K. A.
    Nazar, N. S. Moh
    Syaripuddin, M.
    Mokhtar, A. S. N.
    Thanakodi, S.
    [J]. INTERNATIONAL CONFERENCE ON ENGINEERING AND TECHNOLOGY (INTCET 2017), 2018, 1930
  • [38] Speed Control of DC Motor Using Fuzzy Logic Controller
    Almatheel, Yasser Ali
    Abdelrahman, Ahmed
    [J]. 2017 INTERNATIONAL CONFERENCE ON COMMUNICATION, CONTROL, COMPUTING AND ELECTRONICS ENGINEERING (ICCCCEE), 2017,
  • [39] Speed control of a dc motor using a new fuzzy controller
    Khoei, A
    Hadidi, K
    Jamal, S
    Yuvarajan, S
    [J]. IETE JOURNAL OF RESEARCH, 2002, 48 (02) : 93 - 98
  • [40] Hybrid Fuzzy and PID Controller Based Inverter to Control Speed of AC Induction Motor
    Uddin, M. N.
    Rashid, M. M.
    Tahir, Ahmad M.
    Parvez, M.
    Elias, M. F. M.
    Sultan, M. M.
    Raddadi
    [J]. 2015 INTERNATIONAL CONFERENCE ON ELECTRICAL & ELECTRONIC ENGINEERING (ICEEE), 2015, : 9 - 12