Adaptive backstepping controller for linear induction motor position control

被引:10
|
作者
Boucheta, A. [1 ]
Bousserhane, I. K. [1 ,2 ]
Hazzab, A. [1 ]
Mazari, B. [2 ]
Fellah, M. K. [3 ]
机构
[1] Univ Bechar, Lab Command Anal Optimisat Electroenerget Syst, Bechar, Algeria
[2] Univ Sci & Technol Oran, LDEE, Oran, Algeria
[3] Univ Djillali Liabes Sidi Bel Abbes, Sidi Bel Abbes, Algeria
关键词
Electric motors; Controllers; Control technology; Electric fields; Systems and control theory; RECURRENT-NEURAL-NETWORK; DRIVE; DESIGN;
D O I
10.1108/03321641011028314
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Purpose - The purpose of this paper is to propose mover position control of linear induction motor (LIM) using an adaptive backstepping approach based on field orientation. Design/methodology/approach - First, the indirect field-oriented control LIM is derived. Then, an adaptive backstepping approach based on field-oriented control of LIM is proposed to compensate the uncertainties which occur in the control. Mover position amplitude tracking objective is formulated, under the assumption of unknown total mass of the moving element, viscous friction, and load force, so that the position regulation is achieved. Findings - The effectiveness and robustness of the proposed control scheme are verified by numerical simulation using Matlab/Simulink model. The numerical validation results of the proposed scheme have presented good transient control performances and robustness to uncertainties compared to the conventional backstepping control design. Originality/value - The paper presents an adaptive backstepping approach for LIM control that achieves mover position amplitude tracking objective under mechanical parameter variation.
引用
下载
收藏
页码:789 / 810
页数:22
相关论文
共 50 条
  • [41] Fuzzy-sliding controller design for single sided linear induction motor position control
    Bousserhane, I. K.
    Boucheta, A.
    Hazzab, A.
    Mazari, B.
    Rahli, M.
    Fellah, M. K.
    EUROCON 2007: THE INTERNATIONAL CONFERENCE ON COMPUTER AS A TOOL, VOLS 1-6, 2007, : 2063 - 2068
  • [42] Adaptive Backstepping Nonlinear Controller Design for Shock Position Control of Supersonic Engine
    Park, Jung-Woo
    Park, Ik-Soo
    Tahk, Min-Jea
    2011 11TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), 2011, : 954 - 958
  • [43] Full adaptive backstepping design of a Speed Sensorless Field Oriented Controller for an Induction Motor
    Rasmussen, H
    Vadstrup, P
    Borsting, H
    CONFERENCE RECORD OF THE 2001 IEEE INDUSTRY APPLICATIONS CONFERENCE, VOLS 1-4, 2001, : 2601 - 2606
  • [44] NN-based Block Adaptive Backstepping Control of Induction Motor
    Li, Haiyan
    Hu, Yunan
    COMPUTATIONAL MATERIALS SCIENCE, PTS 1-3, 2011, 268-270 : 528 - 533
  • [45] Composite adaptive position controller for induction motor using feedback linearisation
    Wang, WJ
    Wang, CC
    IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS, 1998, 145 (01): : 25 - 32
  • [46] Adaptive controller design for a linear motor control system
    Liu, TH
    Lee, YC
    Chang, YH
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2004, 40 (02) : 601 - 616
  • [47] A position control of induction motor using optimized fuzzy controller
    Cheol, KS
    Sung, CY
    Han, BK
    Kwi, CB
    Do, LY
    Chul, KS
    PROCEEDINGS OF THE 5TH ASIA-PACIFIC CONFERENCE ON CONTROL & MEASUREMENT, 2002, : 37 - 40
  • [48] Design of Adaptive Neural Network Backstepping Controller for Linear Motor Magnetic Levitation System
    Lan Yipeng
    Yang Wenkang
    Zong Ming
    2019 IEEE INDUSTRY APPLICATIONS SOCIETY ANNUAL MEETING, 2019,
  • [49] A New Adaptive Fuzzy Controller For DC Motor Position Control
    Karimipour, Hadis
    Shandiz, Heydar Toosian
    2009 FIFTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING, COMPUTING WITH WORDS AND PERCEPTIONS IN SYSTEM ANALYSIS, DECISION AND CONTROL, 2010, : 83 - +
  • [50] Adaptive Command-Filtered Fuzzy Nonsingular Terminal Sliding Mode Backstepping Control for Linear Induction Motor
    Zhang, Li
    Xia, Yan
    Zhang, Weiming
    Yang, Weilin
    Xu, Dezhi
    APPLIED SCIENCES-BASEL, 2020, 10 (21): : 1 - 17