Control of induction motors based on adaptive decoupling linearization

被引:0
|
作者
Liu, GH [1 ]
Huang, ZC [1 ]
Liao, ZL [1 ]
Zhang, H [1 ]
Wu, JB [1 ]
机构
[1] Jiangsu Univ Sci & Technol, Zhenjiang 212013, Jiangsu, Peoples R China
关键词
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
General formulation of decoupling problem is presented and applied to the speed regulation of the induction motor under the assumption that disturbing inputs are equal to zero. The two subsystems: rotor speed and rotor flux, are treated as the reference model of adaptive control for the next section. An adaptive law is presented to counteract the harmful effects of disturbance, which cause the loss of decoupling and linearizing. It is proved in the paper that the errors between outputs of reference model and control object are exponentially convergent to zero, and the system is stable. By choosing parameters, the algorithm reduces the complexity of calculation at the same time. This makes it more suitable for the speed control system performed by the high-speed DSPs. Simulations show that flux and speed are still decoupled during the transient of the system. The proposed control is. suitable for high-dynamic performance applications.
引用
收藏
页码:1300 / 1303
页数:4
相关论文
共 50 条
  • [1] Adaptive inverse decoupling control of induction motors
    Zhang Xing-hua
    [J]. PROCEEDINGS OF 2005 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1 AND 2, 2005, : 401 - 405
  • [2] Adaptive feedback linearization control based on stator fluxes model for induction motors
    Jeon, SH
    Choi, JY
    [J]. PROCEEDINGS OF THE 2000 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL, 2000, : 273 - 278
  • [3] Adaptive Feedback Linearization Control Based on Airgap Flux Model for Induction Motors
    Jeon, Seok Ho
    Baang, Dane
    Choi, Jin Young
    [J]. IECON 2004: 30TH ANNUAL CONFERENCE OF IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOL 2, 2004, : 1099 - 1104
  • [4] Adaptive feedback linearization control based on airgap flux model for induction motors
    Jeon, Seok Ho
    Baang, Dane
    Choi, Jin Young
    [J]. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2006, 4 (04) : 414 - 427
  • [5] CONTROL OF INDUCTION-MOTORS VIA FEEDBACK LINEARIZATION WITH INPUT OUTPUT DECOUPLING
    KIM, DI
    HA, IJ
    KO, MS
    [J]. INTERNATIONAL JOURNAL OF CONTROL, 1990, 51 (04) : 863 - 883
  • [6] Improved adaptive feedback linearization control of induction motors based on online estimation of core loss and rotor resistance
    Abbasian, T.
    Salmasi, F. R.
    Yazdanpanah, M. J.
    [J]. 2006 INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS, ELECTRICAL DRIVES, AUTOMATION AND MOTION, VOLS 1-3, 2006, : 27 - +
  • [7] Linearization Decoupling Control of Bearingless Induction motor based on Rotor Field Oriented Control
    Sun, Xuelei
    Zhu, Hejun
    Dang, Lifeng
    [J]. PROCEEDINGS OF 2019 IEEE 3RD INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2019), 2019, : 11 - 15
  • [8] ADAPTIVE FUZZY LOGIC BASED CONTROL OF INDUCTION MOTORS
    Purwar, S.
    Kar, I. N.
    Jha, A. N.
    [J]. CONTROL AND INTELLIGENT SYSTEMS, 2007, 35 (02)
  • [9] Position Control of Induction Motors by Exact Feedback Linearization
    Kostov, Kostadin
    Enev, Stanislav
    Fnaiech, Farhat
    Todorov, Assen
    [J]. CYBERNETICS AND INFORMATION TECHNOLOGIES, 2008, 8 (01) : 34 - 43
  • [10] Decoupling control of induction motors with motor parameter identification
    Kim, GS
    Yim, CH
    Kim, CH
    [J]. IAS '96 - CONFERENCE RECORD OF THE 1996 IEEE INDUSTRY APPLICATIONS CONFERENCE, THIRTY-FIRST IAS ANNUAL MEETING, VOLS 1-4, 1996, : 221 - 228