Implementation of adaptive fuzzy control for a real-time control demo-model

被引:11
|
作者
Ruan, D [1 ]
机构
[1] CEN SCK, Belgian Nucl Res Ctr, B-2400 Mol, Belgium
关键词
fuzzy control; adaptive fuzzy control; real-time control; adaptive function; computer simulation;
D O I
10.1023/A:1011180104228
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
From 1995-1999 a R&D project on fuzzy control applications to the Belgian Reactor 1 (BR1) was conducted at the Belgian Nuclear Research Centre (SCK.CEN). Due to the safety regulations of the nuclear reactor, it is not realistic to perform many experiments at BR1. In this situation, part of the pre-processing experiments had to be carried outside the reactor (e.g., comparisons of different methods and the preliminary choices of the parameters). Therefore a water-level control system, referred to as a real-time control demo-model, was designed and constructed. In this paper, the construction of the demo-model and related hardware aspects is firstly outlined, then the results of a fuzzy control (Mamdani-type) and an adaptive fuzzy control are presented. The adaptive fuzzy control is a fuzzy control with an adaptive function that can self-regulate the fuzzy control rules. Finally, an implementation of a computer simulation is introduced with an adaptive fuzzy control for this real-time control demo-model.
引用
下载
收藏
页码:219 / 239
页数:21
相关论文
共 50 条
  • [31] Implementation of Robot Control Algorithms by Real-Time Control System
    Viliam, Fedak
    Frantisek, Durovsky
    Robert, Uveges
    Kyslan, Karol
    Milan, Lacko
    INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH IN AFRICA, 2015, 18 (112-119) : 112 - 119
  • [32] ADAPTIVE FUZZY CONTROL BY REAL-TIME CHOOSING MULTI-MODEL ARCHITECTURE FOR UNCERTAIN NONLINEAR SYSTEM
    Hu, Guang
    Du, Zhenbin
    MECHATRONIC SYSTEMS AND CONTROL, 2019, 47 (01): : 50 - 55
  • [33] An Adaptive Fuzzy Scheduling and Fuzzy-PID Perfomance Control Model Being Suitable to Soft Real-time Systems
    He, Xian-Bo
    Yang, Li
    Zeng, Xian-hua
    Zhang, Gang-yuan
    Zhao, Xing-qiang
    FIFTH INTERNATIONAL CONFERENCE ON INFORMATION ASSURANCE AND SECURITY, VOL 1, PROCEEDINGS, 2009, : 149 - 153
  • [34] FPGA-based real-time implementation of an adaptive RCMAC control system
    Lin, Chih-Min
    Chung, Chao-Ming
    Hsu, Chun-Fei
    WSEAS Transactions on Circuits and Systems, 2008, 7 (07): : 749 - 757
  • [35] Deadline-Miss-Adaptive Controller Implementation for Real-Time Control Systems
    Vreman, Nils
    Mandrioli, Claudio
    Cervin, Anton
    2022 IEEE 28TH REAL-TIME AND EMBEDDED TECHNOLOGY AND APPLICATIONS SYMPOSIUM (RTAS), 2022, : 13 - 26
  • [36] Real-time implementation of adaptive feedback and feedforward generalized predictive control algorithm
    Moon, Suk-Min
    Cole, Daniel G.
    Clark, Robert L.
    JOURNAL OF SOUND AND VIBRATION, 2006, 294 (1-2) : 82 - 96
  • [37] Real-Time Implementation of Simple Adaptive Control Algorithm to Two Axes Gimbal
    Rusnak, Ilan
    Hertz, Ohad
    Dana, Yotam
    2016 IEEE INTERNATIONAL CONFERENCE ON THE SCIENCE OF ELECTRICAL ENGINEERING (ICSEE), 2016,
  • [38] A REAL-TIME FUZZY SELF TUNING CONTROL
    BATUR, C
    KASPARIAN, V
    PROCEEDINGS OF THE 1989 AMERICAN CONTROL CONFERENCE, VOLS 1-3, 1989, : 1810 - 1815
  • [39] Design and Real Time Implementation of Sliding Mode and Adaptive Fuzzy Control on Quanser Gyroscope
    Mishra, Amardeep
    Sinha, Nandan Kumar
    2019 FIFTH INDIAN CONTROL CONFERENCE (ICC), 2019, : 312 - 317
  • [40] REAL-TIME INTEGRATED MODEL FOR VISUAL-PERCEPTION AND FUZZY CONTROL
    SIEGER, DB
    BADIRU, AB
    COMPUTERS & INDUSTRIAL ENGINEERING, 1992, 23 (1-4) : 355 - 355