Multivariable bilinear subspace recursive likelihood identification for pumped storage motor

被引：0
|
作者：
Zhuang Xu [1 ,2 ]
Ge Bao-Jun [1 ]
Tao Dajun [1 ]
机构：
[1] Harbin Univ Sci & Technol, Harbin 150080, Heilongjiang, Peoples R China
[2] Northeast Dianli Univ, Jilin 132012, Jilin, Peoples R China
来源：
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2019年 / 22卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Pumped storage motor; Multivariable; Bilinear; Subspace; Recursive likelihood identification; AUTOMATIC DETECTION; ENTROPY;
D O I：
10.1007/s10586-018-2066-6
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
To improve precision for model identification result of pumped storage motor, a kind of multivariable bilinear subspace recursive likelihood identification for pumped storage motor is put forward. Firstly, pumped storage motor magnetic filed equation is given, pumped storage motor model based on extension Kalman Filter is established, two-set identification models are constructed by coordination by utilizing two-group state vectors of resistance and inductance and two-set models work cooperatively to construct circulation identification algorithm; then, introduce subspace identification strategy, establish relevant data estimation equation by utilizing block Hankel matrix and realize valid identification to system parameter matrix by adopting least squares (LS); validity of proposed algorithm is verified by simulation experiment in matlab platform and hardware environment.
引用
收藏
页码：S4527 / S4533
页数：7
相关论文
共 50 条
  • [1] Multivariable bilinear subspace recursive likelihood identification for pumped storage motor
    Zhuang Xu
    Ge Bao-Jun
    Tao Dajun
    Cluster Computing, 2019, 22 : 4527 - 4533
  • [2] A kernel method for subspace identification of multivariable bilinear systems
    Verdult, V
    Verhaegen, M
    42ND IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-6, PROCEEDINGS, 2003, : 3972 - 3977
  • [3] Multivariable event-triggered predictive control based on recursive bilinear subspace identification for wastewater treatment processes
    Zhou, Hongbiao
    Liu, Shuaixiang
    Ren, Jian
    Zhang, Jinlong
    Li, Honghai
    DESALINATION AND WATER TREATMENT, 2023, 295 : 105 - 124
  • [4] Kernel methods for subspace identification of multivariable LPV and bilinear systems
    Verdult, V
    Verhaegen, M
    AUTOMATICA, 2005, 41 (09) : 1557 - 1565
  • [5] Multivariable Recursive Subspace Identification with Application to Artificial Pancreas Systems
    Hajizadeh, I.
    Rashid, M.
    Turksoy, K.
    Samadi, S.
    Feng, J.
    Sevil, M.
    Frantz, N.
    Lazaro, C.
    Maloney, Z.
    Littlejohn, E.
    Cinar, A.
    IFAC PAPERSONLINE, 2017, 50 (01): : 886 - 891
  • [6] RECURSIVE IDENTIFICATION AND REALIZATION ALGORITHM FOR A CLASS OF BILINEAR MULTIVARIABLE SYSTEMS.
    Wang, Xiufeng
    Lu, Guizhang
    Advances in modelling & simulation, 1987, 8 (03): : 15 - 25
  • [7] Recursive maximum likelihood identification method for a multivariable controlled autoregressive moving average system
    Wang, Dongqing
    Gao, Yanpu
    IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION, 2016, 33 (04) : 1015 - 1031
  • [8] Maximum likelihood identification of multivariable bilinear state-space systems by projected gradient search
    Verdult, V
    Bergboer, N
    Verhaegen, M
    PROCEEDINGS OF THE 41ST IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, 2002, : 1808 - 1813
  • [9] An Approach to Recursive Subspace Identification
    Bathelt, Andreas
    Soeffker, Dirk
    Jelali, Mohieddine
    2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2017,
  • [10] Identification of multivariable bilinear state space systems based on subspace techniques and separable least squares optimization
    Verdult, V
    Verhaegen, M
    INTERNATIONAL JOURNAL OF CONTROL, 2001, 74 (18) : 1824 - 1836
12345