Control by adaptive table

被引:0
作者
Yang, QW [1 ]
Ping, F [1 ]
Xue, YC [1 ]
Liao, H [1 ]
机构
[1] Hohai Univ, Changzhou City 213022, Peoples R China
来源
IECON-2002: PROCEEDINGS OF THE 2002 28TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-4 | 2002年
关键词
fuzzy logic control; adaptive control table; steady-state error; stable plant;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In order to improve the control performance of fuzzy logic controller (FLC) and to be convenient for implementing control algorithms by using microprocessors, we present a control scheme of looking up adaptive control table based on fuzzy control theory in this paper. To eliminate the steady-state error of fuzzy control system, a necessary and sufficient condition is proved, which guides to design the control table. The control system predicts the desired control action needed for removing the steady-state error online and optimizes the control table dynamically. The steady-state error can be removed without using any integrators in the control system. The simulation results show that: no matter how the gain of the controlled plant is fixed or alterable, the control system has both good performance and high precision.
引用
收藏
页码:1652 / 1656
页数:5
相关论文
共 7 条
  • [1] BOHDAN S, 1998, IEEE T SYST MAN CYBR, V28, P855
  • [2] COX E, 1992, IEEE SPECTRUM OCT, P58
  • [3] Hirota K., 1993, IND APPL FUZZY TECHN
  • [4] FUZZY-LOGIC IN CONTROL-SYSTEMS - FUZZY-LOGIC CONTROLLER .1.
    LEE, CC
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1990, 20 (02): : 404 - 418
  • [5] LEE J, 1991, IEEE T SYST MAN CYB, V21, P952
  • [6] Nonlinear one-step-ahead control using neural networks: Control strategy and stability design
    Tan, YH
    vanCauwenberghe, A
    [J]. AUTOMATICA, 1996, 32 (12) : 1701 - 1706
  • [7] Design of fuzzy controllers with adaptive rule insertion
    Tao, CW
    Taur, J
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 1999, 29 (03): : 389 - 397