A Novel Fuzzy based Adaptive Control of the Four Tank System

被引:0
|
作者
Prusty, Sankata B. [1 ]
Pati, Umesh C. [1 ]
Mahapatra, Kamala K. [1 ]
机构
[1] Natl Inst Technol, Dept Elect & Commun Engn, Rourkela 769008, India
关键词
Four Tank System; Proportional-integral-derivative controller; Fuzzy system; Model Reference Adaptive Control; PREDICTIVE CONTROL;
D O I
暂无
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 paper has analyzed the four tank system (FTS) from the mechanism modeling and has also established the nonlinear and linear mathematical model. The FTS is a typical control system with nonlinear, coupling and time delay characteristics which can be used to test the applications of different control algorithms on complex systems. The aim of the process is to keep the liquid level in the tanks at the desired values. Here, Fuzzy Modified Model Reference Adaptive Control (FMMRAC) is proposed and is applied to the tank system to test its effectiveness. The response of the FMMRAC controller is verified and is compared with other control algorithms through simulation. The performance of the closed loop system is simulated using LabVIEW software. The method used here is validated using the simulated results.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Model Based Predictive Control of the Four Tank System
    Prusty, Sankata B.
    Pati, Umesh C.
    Mahapatra, Kamala K.
    ADVANCES IN SYSTEM OPTIMIZATION AND CONTROL, 2019, 509 : 249 - 260
  • [2] Model based control of a four-tank system
    Gatzke, EP
    Meadows, ES
    Wang, C
    Doyle, FJ
    COMPUTERS & CHEMICAL ENGINEERING, 2000, 24 (2-7) : 1503 - 1509
  • [3] Implementation of an adaptive fuzzy compensator for coupled tank liquid level control system
    Basci, Abdullah
    Derdiyok, Adnan
    MEASUREMENT, 2016, 91 : 12 - 18
  • [4] A Novel Four Rotor Aircraft Adaptive Control Algorithm Based on the Optimized Fuzzy Neural Network
    Wei, Yizhou
    Sun, GangQiang
    Wang, Shuheng
    PROCEEDINGS OF THE 2017 5TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND COMPUTING TECHNOLOGY (ICMMCT 2017), 2017, 126 : 580 - 586
  • [5] Novel Direct Adaptive Fuzzy Control System Design
    Hsueh, Yao-Chu
    Su, Shun-Feng
    2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9, 2009, : 389 - 394
  • [6] A novel adaptive fuzzy control of the inverted pendulum system
    Geng, Feng
    Zhu, Xiaoping
    2007 IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1-7, 2007, : 2776 - +
  • [7] Filling Control of a Conical Tank Using a Compact Neuro-Fuzzy Adaptive Control System
    Espitia-Cuchango, Helbert
    Machon-Gonzalez, Ivan
    Lopez-Garcia, Hilario
    COMPLEXITY, 2022, 2022
  • [8] Synthesis of a decentralised fuzzy controller for level control of a four stage cascaded tank system
    Bart, QJ
    2002 IEEE AFRICON, VOLS 1 AND 2: ELECTROTECHNOLOGICAL SERVICES FOR AFRICA, 2002, : 119 - 122
  • [9] Adaptive control of a laboratory tank system
    Danko, J
    Ondrovicová, M
    CHEMICAL PAPERS, 2000, 54 (03) : 155 - 158
  • [10] Adaptive Fuzzy-PID Controller for Liquid Flow Control in the Heating Tank System
    Yahya, Sofian
    Al Tahtawi, Adnan Rafi
    Wijayanto, Kartono
    Faizah, Bani Asriatul
    INTERNATIONAL JOURNAL OF INTEGRATED ENGINEERING, 2022, 14 (01): : 173 - 180