Fuzzy sliding mode controller with gain auto-tuning for un-symmetric input temperature control system

被引:2
|
作者
Shiuh-Jer Huang [1 ]
Hung-Yi Chen [2 ]
Chen-Chuan Wang [3 ]
机构
[1] Natl Taipei Univ Technol, Taipei 106, Taiwan
[2] MingChi Univ Technol, Taipei 106, Taiwan
[3] Taichung Sci Ind Park, Taichung, Taiwan
关键词
D O I
10.1109/ICSMC.2006.384531
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The temperature control system has nonlinear time-varying, slow response, time-delay and un-symmetric control input dynamic characteristics. It is difficult to accurately estimate the dynamic model and design a general purpose temperature controller for achieving good control performance. Here a model-free intelligent fuzzy sliding mode control strategy is employed to design a temperature controller with gain-scheduling scheme or auto gain-tuning algorithm for a heating input only closed chamber. The concept of gain scheduling is employed to adjust the mapping ranges of the input and output variables of fuzzy membership functions during the control process for improving the transient and steady-state control performances. The experimental results show that the steady state error of the step input response is always less than 0.2 degrees C without overshoot by using this control schemes.
引用
收藏
页码:1004 / +
页数:4
相关论文
共 50 条
  • [21] A Genetic Approach for Auto-Tuning of Adaptive Fuzzy PID Control of a Telescope's Tracking System
    Demidova, G. L.
    Lukichev, D. V.
    Kuzin, A. Yu.
    PROCEEDINGS OF THE 13TH INTERNATIONAL SYMPOSIUM INTELLIGENT SYSTEMS 2018 (INTELS'18), 2019, 150 : 495 - 502
  • [22] Auto-tuning method for AC servo system with fuzzy learning control by automatically generated rules
    Inoue, KJ
    Yoshitsugu, JJ
    Shirogane, S
    Boyagoda, P
    Nakaoka, M
    SICE '97 - PROCEEDINGS OF THE 36TH SICE ANNUAL CONFERENCE, INTERNATIONAL SESSION PAPERS, 1997, : 1077 - 1082
  • [23] A dynamic sliding-mode controller with fuzzy adaptive tuning for an active suspension system
    Zhang, Yun-Qing
    Zhao, Yong-Sheng
    Yang, Jingzhou
    Chen, Li-Ping
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2007, 221 (D4) : 417 - 428
  • [24] Performance of Manual and Auto-Tuning PID Controller for Unstable Plant - Nano Satellite Attitude Control System
    Hazza, Hani A.
    Mashor, M. Y.
    Mahdi, Mohammed Chessab
    2018 6TH INTERNATIONAL CONFERENCE ON CYBER AND IT SERVICE MANAGEMENT (CITSM), 2018, : 745 - 749
  • [25] Fractional order sliding-mode control based on parameters auto-tuning for velocity control of permanent magnet synchronous motor
    Zhang, BiTao
    Pi, YouGuo
    Luo, Ying
    ISA TRANSACTIONS, 2012, 51 (05) : 649 - 656
  • [26] Automatic learning control-based gain parameter auto-tuning scheme for AC servo system
    Inoue, K
    Yoshitsugu, J
    Shirogane, S
    Boyagoda, P
    Nakaoka, M
    IAS '97 - CONFERENCE RECORD OF THE 1997 IEEE INDUSTRY APPLICATIONS CONFERENCE / THIRTY-SECOND IAS ANNUAL MEETING, VOLS 1-3, 1997, : 836 - 843
  • [27] Lower Limb Exoskeleton Hybrid Phase Control Based on Fuzzy Gain Sliding Mode Controller
    Li, Zhengyang
    Dong, Wei
    Wang, Likun
    Chen, Chaofeng
    Wang, Jiaqi
    Du, Zhijiang
    2018 2ND INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION SCIENCES (ICRAS), 2018, : 184 - 190
  • [28] Design of self-tuning fuzzy sliding mode control for TORA system
    Hung, Lon-Chen
    Lin, Hung-Ping
    Chung, Hung-Yuan
    EXPERT SYSTEMS WITH APPLICATIONS, 2007, 32 (01) : 201 - 212
  • [29] Fuzzy sliding mode controller for power system load-frequency control
    Ha, Q.P.
    International Conference on Knowledge-Based Intelligent Electronic Systems, Proceedings, KES, 1998, 1 : 149 - 154
  • [30] Control of the Uncertain Drive System Using a Sliding Mode Fuzzy TSK Controller
    Szabat, K.
    Orlowska-Kowalska, T.
    Kaminski, M.
    Serkies, P.
    Ryvkin, S.
    2014 16TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE AND EXPOSITION (PEMC), 2014, : 851 - 854