A MATLAB virtual laboratory to support learning of auto-tuning PID approaches

被引:0
|
作者
Rossiter, J. A. [1 ]
Visioli, A. [2 ]
Dormido, S. [3 ]
Bars, R. [4 ]
机构
[1] Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield S1 3JD, England
[2] Univ Brescia, Dipartimento Ingn Meccan & Ind, Brescia, Italy
[3] Univ Nacl Educac Distancia, Madrid, Spain
[4] Budapest Univ Technol & Econ, Dept Automat & Appl Informat, Budapest, Hungary
来源
IFAC PAPERSONLINE | 2024年 / 58卷 / 07期
关键词
Control101; toolbox; PID compensation; virtual laboratories; independent learning;
D O I
10.1016/j.ifacol.2024.08.013
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a small number of MATLAB APPs and livescript files designed to help students both understand and implement PID tuning. The paper presents the thinking behind the use of MATLAB and the topic itself before then describing the proposed resources in detail. The resources split into files with detailed mathematical and coding background students can use for self-study and assignments, and a virtual laboratory which is more intuitive and interactive and useful for familiarisation with core concepts. The files were recently added to the control101 toolbox (Rossiter, 2023). Copyright (C) 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)
引用
收藏
页码:73 / 78
页数:6
相关论文
共 50 条
  • [41] Design of a neural network enhanced auto-tuning PID controller
    Zhu, QM
    Hayns, MR
    Garvey, SD
    COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION - NEURAL NETWORKS & ADVANCED CONTROL STRATEGIES, 1999, 54 : 69 - 74
  • [42] Auto-tuning method of expanded PID control for MIMO systems
    Tamura, Kenichi
    Ohmori, Hiromitsu
    2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13, 2006, : 1427 - +
  • [43] Design of an iterative auto-tuning algorithm for a fuzzy PID controller
    Saeed, Bakhtiar I.
    Mehrdadi, B.
    25TH INTERNATIONAL CONGRESS ON CONDITION MONITORING AND DIAGNOSTIC ENGINEERING (COMADEM 2012), 2012, 364
  • [44] Integrated Auto-Tuning PID Control of Continuous Casting Process
    GUO Ge
    WANG Wei
    CHAI Tian-you
    Journal of Iron and Steel Research(International), 2000, 7 (01) : 17 - 21
  • [45] A novel fuzzy logic scheme for PID controller auto-tuning
    Kamenko, Ilija
    Congradac, Velimir
    Kulic, Filip
    AUTOMATIKA, 2022, 63 (02) : 365 - 377
  • [46] Neural network-based auto-tuning for PID controllers
    Rivas-Echeverría, F.
    Ríos-Bolívar, A.
    Casales-Echeverría, J.
    Neural Network World, 2001, 11 (03) : 277 - 284
  • [47] Auto-tuning for cascade PID height position controller of rotorcraft
    Liao, Guiqiu
    Zhao, Jiankang
    2018 INTERNATIONAL JOINT CONFERENCE ON METALLURGICAL AND MATERIALS ENGINEERING (JCMME 2018), 2019, 277
  • [48] A Parameter Auto-Tuning Method of Fuzzy-PID Controller
    Huang, Hui
    Yang, Xiao-yi
    Deng, Xin-li
    Qiao, Zheng-hong
    FUZZY INFORMATION AND ENGINEERING, VOLUME 2, 2009, 62 : 1193 - +
  • [49] Auto-tuning Method of Fuzzy PID Controller Parameter Based on Self-learning System
    Yang, Zhangli
    Li, Lei
    Liu, Buqing
    2014 11TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD), 2014, : 222 - 226
  • [50] PID_ATC:: A real-time tool for pid control and auto-tuning
    Portillo, J
    Marcos, M
    Orive, D
    López, F
    Pérez, F
    ALGORITHMS AND ARCHITECTURES FOR REAL-TIME CONTROL 1998 (AARTC'98), 1998, : 41 - 46