Positioning Electromechanical System with Adaptive Fuzzy Proportional-Plus-Integral Position Controller

被引:1
|
作者
Paranchuk, Yaroslav [1 ]
Kuznyetsov, Oleksiy [2 ]
Tsyapa, Volodymyr [1 ]
Bilyakovskyy, Ihor [1 ]
机构
[1] Lviv Polytech Natl Univ, Inst Power Engn & Control Syst, Lvov, Ukraine
[2] Hetman Petro Sahaidachnyi Natl Army Acad, Dept Electromech & Elect, Lvov, Ukraine
关键词
positioning; adaption; fuzzy proportional-integral controller; Mamdani algorithm; artificial neural network; Simulink model;
D O I
10.1109/EUROCON52738.2021.9535588
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 structure of an electromechanical system (EMS) with the positioning control loop operating based on fuzzy PI position controller is developed. The model of adaptation of the positioning process to the change of position reference signal is proposed. The solution allows us to obtain optimal plant's laws of motion in the full positioning range in different directions. The structure of a fuzzy proportional-plus-integral (FPI) position controller based on the Mamdani algorithm is proposed and designed. The structural Simulink model of the positioning EMS with the adaptive fuzzy PI controller is developed, and computer simulations of the positioning control for both directions of the plant's motion are performed. The analysis of the obtained positioning control proved the correctness and effectiveness of the proposed adaptation model, as far as it allows obtaining optimal (without overshoots and dragging modes) plant's motions into an arbitrary position from both directions.
引用
收藏
页码:403 / 407
页数:5
相关论文
共 50 条
  • [31] Tuning of proportional plus derivative fuzzy logic controller for nonlinear system control
    Van Cleave, DW
    Rattan, KS
    JOINT 9TH IFSA WORLD CONGRESS AND 20TH NAFIPS INTERNATIONAL CONFERENCE, PROCEEDINGS, VOLS. 1-5, 2001, : 1288 - 1293
  • [32] Design of a proportional plus derivative neuro fuzzy controller
    Rattan, KS
    Sandhu, GS
    18TH INTERNATIONAL CONFERENCE OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY - NAFIPS, 1999, : 874 - 878
  • [33] Design of a proportional plus derivative neuro fuzzy controller
    Rattan, Kuldip S.
    Sandhu, Gurpreet S.
    Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS, 1999, : 874 - 878
  • [34] Fuzzy Proportional-Integral State Feedback Controller For Vehicle Traction Control System
    Dahmani, H.
    Pages, O.
    El Hajjaji, A.
    2014 IEEE CONFERENCE ON CONTROL APPLICATIONS (CCA), 2014, : 65 - 70
  • [35] Adaptive fuzzy integral-backstepping controller for linear induction motor position control
    Hazzab, A.
    Bousserhane, I. K.
    Sicard, P.
    Rahli, M.
    Kamli, M.
    Mazari, B.
    IECON 2006 - 32ND ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS, VOLS 1-11, 2006, : 4439 - +
  • [36] Design and analysis of a fuzzy proportional-integral-derivative controller
    Misir, D
    Malki, HA
    Chen, GR
    FUZZY SETS AND SYSTEMS, 1996, 79 (03) : 297 - 314
  • [37] MODELING DIGITAL PROPORTIONAL-PLUS-INTEGRAL AND SELF-TUNING CONTROL OF A 1200 A FLUIDIZED-BED CELL
    DENIS, SG
    GOODRIDGE, F
    MORRIS, AJ
    WRIGHT, AR
    SURFACE TECHNOLOGY, 1985, 24 (01): : 83 - 83
  • [38] Speed Control of Permanent Magnet Brushless DC Motor Using Hybrid Fuzzy Proportional plus Integral plus Derivative Controller
    Gowthaman, E.
    Vinodhini, V.
    Hussain, Mir Yasser
    Dhinakaran, S. K.
    Sabarinathan, T.
    FIRST INTERNATIONAL CONFERENCE ON POWER ENGINEERING COMPUTING AND CONTROL (PECCON-2017 ), 2017, 117 : 1101 - 1108
  • [39] Comparative Study on Decoupling Synchronous Current Proportional-Plus-Integral Regulator Design in High Speed PMSM Drives
    Zhang, Xiaolong
    Wang, Yuyao
    Haran, Kiruba S.
    Krein, Philip T.
    2019 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2019, : 1891 - 1898
  • [40] Speed and torque control of permanent magnet synchronous motor using hybrid fuzzy proportional plus integral controller
    Ananthamoorthy, N. P.
    Baskaran, K.
    JOURNAL OF VIBRATION AND CONTROL, 2015, 21 (03) : 563 - 579