A stable self-tuning fuzzy logic control system for industrial temperature regulation

被引：38
|
作者：
Gao, ZQ [1 ]
Trautzsch, TA
Dawson, JG
机构：
[1] Cleveland State Univ, Dept Elect & Comp Engn, Appl Control Res Lab, Cleveland, OH 44115 USA
[2] Cleveland State Univ, Dept Elect & Comp Engn, Adv Engn Res Lab, Cleveland, OH 44115 USA
[3] Multi Dimensional Imaging, VAC Div, Solon, OH 44139 USA
[4] Setech Inc, Murfreesboro, TN 37129 USA
来源：
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS | 2002年 / 38卷 / 02期
关键词：
fuzzy logic; self-tuning; temperature control;
D O I：
10.1109/28.993163
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A closed-loop control system incorporating fuzzy logic has been developed for a class of industrial temperature control problems. A unique fuzzy logic controller (FLC) structure with an efficient realization and a small rule base that can be easily implemented in existing industrial controllers was proposed. The potential of FLC in both software simulation and hardware test in an industrial setting was demonstrated. This includes compensating for thermo mass changes in the system, dealing with unknown and variable delays, operating at very different temperature set points without retuning, etc. It is achieved by implementing, in the FLC, a classical control strategy and an adaptation mechanism to compensate for the dynamic changes in the system. The proposed FLC was applied to two different temperature processes and performance and robustness improvements were observed in both cases. Furthermore, the stability of the FLC is investigated and a safeguard is established.
引用
收藏
页码：414 / 424
页数：11
相关论文
共 50 条
  • [1] A stable self-tuning fuzzy logic control system for industrial temperature regulation
    Gao, ZQ
    Trautzsch, TA
    Dawson, JG
    [J]. IAS 2000 - CONFERENCE RECORD OF THE 2000 IEEE INDUSTRY APPLICATIONS CONFERENCE, VOLS 1-5, 2000, : 1232 - 1240
  • [2] Design of self-tuning fuzzy logic controller for the control of an unknown industrial process
    Mary, P. Melba
    Marimuthu, N. S.
    [J]. IET CONTROL THEORY AND APPLICATIONS, 2009, 3 (04): : 428 - 436
  • [3] A stable motion control system for manipulators via fuzzy self-tuning
    Llama, MA
    Kelly, R
    Santibañez, V
    [J]. FUZZY SETS AND SYSTEMS, 2001, 124 (02) : 133 - 154
  • [4] Design and optimization of a self-tuning PID controller based on Fuzzy Logic for Temperature Control System of Furnace
    Islam, Md Tauhidul
    Islam, Md Saiful
    [J]. PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND INFORMATION TECHNOLOGY 2021 (ICECIT 2021), 2021,
  • [5] An Elevator Group Control System With a Self-Tuning Fuzzy Logic Group Controller
    Jamaludin, Jafferi
    Rahim, Nasrudin Abd.
    Hew, Wooi Ping
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2010, 57 (12) : 4188 - 4198
  • [6] A self-tuning fuzzy control system design
    Feng, HM
    [J]. JOINT 9TH IFSA WORLD CONGRESS AND 20TH NAFIPS INTERNATIONAL CONFERENCE, PROCEEDINGS, VOLS. 1-5, 2001, : 209 - 214
  • [7] Antenna Azimuth Position Control with Fuzzy Logic and Self-Tuning Fuzzy Logic Controllers
    Okumus, H. Ibrahim
    Sahin, E.
    Akyazi, O.
    [J]. 2013 8TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ELECO), 2013, : 477 - 481
  • [8] Application of self-tuning fuzzy logic controller on process control
    Lo, CH
    Wong, YK
    Rad, AD
    [J]. ADVANCES IN CONTROL EDUCATION 2000, 2001, : 281 - 286
  • [9] GUI for fuzzy logic self-tuning PID control and FPD plus I control in a temperature plant
    Bonilla Blanco, Daniel
    Picon Gonzalez, Yoiner
    Duque Suarez, Oscar Manuel
    Araujo Vargas, Jair Elias
    Diaz Rodriguez, Jorge Luis
    Pardo Garcia, Aldo
    [J]. 2023 IEEE COLOMBIAN CONFERENCE ON APPLICATIONS OF COMPUTATIONAL INTELLIGENCE, COLCACI, 2023,
  • [10] LD temperature control system based on self-tuning fuzzy PID algorithm
    [J]. Dai, Junke, 1600, Chinese Society of Astronautics (43):
12345