Robust sliding mode control using adaptive switching gain for induction motors

被引:15
|
作者
Jamoussi K. [1 ]
Chrifi-Alaoui L. [2 ]
Benderradji H. [3 ]
El Hajjaji A. [4 ]
Ouali M. [1 ]
机构
[1] Laboratory Computer and Embedded Systems, National Engineering School, University of Sfax, Sfax
[2] Laboratory of Innovative Technology, University of Picardie Jules Verne, Cuffies
[3] Electrical Engineering Department, University of M'sila, M'sila
[4] Laboratory of Modeling, Information and Systems, University of Picardie Jules Verne, Amiens
关键词
field oriented control (FOC); induction motor; practical validation; Sliding mode control; switching gain;
D O I
10.1007/s11633-013-0725-x
中图分类号
学科分类号
摘要
A robust sliding mode approach combined with a field oriented control (FOC) for induction motor (IM) speed control is presented. The proposed sliding mode control (SMC) design uses an adaptive switching gain and an integrator. This approach guarantees the same robustness and dynamic performance of traditional SMC algorithms. And at the same time, it attenuates the chattering phenomenon, which is the main drawback in actual implementation of this technique. This approach is insensitive to uncertainties and permits to decrease the requirement for the bound of these uncertainties. The stability and robustness of the closedloop system are proven analytically using the Lyapunov synthesis approach. The proposed method attenuates the effect of both uncertainties and external disturbances. Experimental results are presented to validate the effectiveness and the good performance of the developed method. © 2013 Institute of Automation, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg.
引用
收藏
页码:303 / 311
页数:8
相关论文
共 50 条
  • [31] Adaptive robust fast control for induction motors
    Xia, Y
    Yu, XH
    Oghanna, W
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2000, 47 (04) : 854 - 862
  • [32] Robust and adaptive control of induction motors with fuzzy control
    Parthy, A
    Shahkarami, M
    Hanitsch, R
    COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION - EVOLUTIONARY COMPUTATION & FUZZY LOGIC FOR INTELLIGENT CONTROL, KNOWLEDGE ACQUISITION & INFORMATION RETRIEVAL, 1999, 55 : 311 - 316
  • [33] Adaptive Discrete-Time Quasi-Sliding Mode Control of Induction Motors
    Feng, Yong
    Xue, Chen
    Bai, Fan
    Han, Fengling
    2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 2386 - 2390
  • [34] Adaptive sliding-mode observer for speed-sensorless control of induction motors
    Tursini, M
    Petrella, R
    Parasiliti, F
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2000, 36 (05) : 1380 - 1387
  • [35] Higher Order Sliding Mode Control of MIMO Induction Motors: A New Adaptive Approach
    Karami-Mollaee, Ali
    Barambones, Oscar
    MATHEMATICS, 2023, 11 (21)
  • [36] Fast terminal sliding mode control design for position control of induction motors using adaptive quantum neural networks
    Zirkohi, Majid Moradi
    APPLIED SOFT COMPUTING, 2022, 115
  • [37] Direct Torque Control of Induction Motors Based on Discrete Space Vector Modulation Using Adaptive Sliding Mode Control
    Ben Salem, Fatma
    Derbel, Nabil
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2014, 42 (14) : 1598 - 1610
  • [38] Trajectory following sliding mode control of induction motors
    Z. H. Akpolat
    H. Guldemir
    Electrical Engineering, 2003, 85 : 205 - 209
  • [39] A survey on sliding mode control strategies for induction motors
    Panchade, V. M.
    Chile, R. H.
    Patre, B. M.
    ANNUAL REVIEWS IN CONTROL, 2013, 37 (02) : 289 - 307
  • [40] Sensorless sliding-mode control of induction motors
    Yan, Z
    Jin, CX
    Utkin, VI
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2000, 47 (06) : 1286 - 1297