Design and real-time implementation of an adaptive fuzzy sliding mode controller for a coupled tank system

被引:4
作者
Mahapatro, Soumya Ranjan [1 ]
Subudhi, Bidyadhar [1 ]
Ghosh, Subhojit [2 ]
机构
[1] Natl Inst Technol Rourkela, Dept Elect Engn, Ctr Ind Elect & Robot, Rourkela, Odisha, India
[2] Natl Inst Technol Raipur, Dept Elect Engn, Raipur 492001, Madhya Pradesh, India
关键词
coupled tank system (CTS); linear matrix inequalities (LMIs); process control; system identification; LEVEL CONTROL;
D O I
10.1002/jnm.2485
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 this paper, an adaptive fuzzy sliding mode controller (AFSMC) is proposed for regulation of liquid level in a coupled tank system (CTS). In this controller design, a fuzzy variable is considered in the sliding surface in order to reduce the chattering effect. The proposed controller exhibits high robustness against external disturbances and also measurement error. To verify the efficacy of the proposed controller, we compared its performances with that of a linear matrix inequality (LMI)-based proportional integral (PI) controller. The efficacy of the proposed controller is verified by implementing this controller in real time on the coupled tank liquid level system. From both the obtained simulation and experimental results, it is observed that the proposed controller exhibits superior control performance to maintain the desired level as compared with the LMI-based PI controller.
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收藏
页数:17
相关论文
共 33 条
  • [1] Sliding mode control of coupled tanks
    Almutairi, Naif B.
    Zribi, Mohamed
    [J]. MECHATRONICS, 2006, 16 (07) : 427 - 441
  • [2] PID control system analysis, design, and technology
    Ang, KH
    Chong, G
    Li, Y
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2005, 13 (04) : 559 - 576
  • [3] [Anonymous], 2000, COUPL TANK SYST CONT
  • [4] Design of decoupled PI controllers for two-by-two systems
    Åström, KJ
    Johansson, KH
    Wang, QG
    [J]. IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS, 2002, 149 (01): : 74 - 81
  • [5] Bequette B.W., 2003, PROCESS CONTROL MODE
  • [6] Boyd S., 1994, LINEAR MATRIX INEQUA
  • [7] Boyd Stephen P., 2014, Convex Optimization
  • [8] Fuzzy control of an ANFIS model representing a nonlinear liquid-level system
    Engin, SN
    Kuvulmaz, J
    Ömurlü, VE
    [J]. NEURAL COMPUTING & APPLICATIONS, 2004, 13 (03) : 202 - 210
  • [9] Gahinet P., 1995, LMI Control Toolbox
  • [10] OPTIMIZATION OF CONTROL PARAMETERS FOR GENETIC ALGORITHMS
    GREFENSTETTE, JJ
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1986, 16 (01): : 122 - 128