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Modeling and predictive control of magnetic levitation ball system based on RBF-ARX model with linear functional weights

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Modeling and predictive control of magnetic levitation ball system based on RBF-ARX model with linear functional weights. / Qin, Yemei; Peng, Hui; Ruan, Wenjie.

In: Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), Vol. 47, No. 8, 26.08.2016, p. 2676-2684.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Qin, Y, Peng, H & Ruan, W 2016, 'Modeling and predictive control of magnetic levitation ball system based on RBF-ARX model with linear functional weights', Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), vol. 47, no. 8, pp. 2676-2684. https://doi.org/10.11817/j.issn.1672-7207.2016.08.019

APA

Qin, Y., Peng, H., & Ruan, W. (2016). Modeling and predictive control of magnetic levitation ball system based on RBF-ARX model with linear functional weights. Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 47(8), 2676-2684. https://doi.org/10.11817/j.issn.1672-7207.2016.08.019

Vancouver

Qin Y, Peng H, Ruan W. Modeling and predictive control of magnetic levitation ball system based on RBF-ARX model with linear functional weights. Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology). 2016 Aug 26;47(8):2676-2684. https://doi.org/10.11817/j.issn.1672-7207.2016.08.019

Author

Qin, Yemei ; Peng, Hui ; Ruan, Wenjie. / Modeling and predictive control of magnetic levitation ball system based on RBF-ARX model with linear functional weights. In: Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology). 2016 ; Vol. 47, No. 8. pp. 2676-2684.

Bibtex

@article{1d9271d1a4ac433491dde2ebd6db7fd5,
title = "Modeling and predictive control of magnetic levitation ball system based on RBF-ARX model with linear functional weights",
abstract = "In order to fully describe the dynamic behavior of the magnetic levitation ball system which has nonlinear, open-loop instable and rapid response characteristics, RBF-ARX model with linear functional weights (LFWRBF-ARX model) was established. Different from a general RBF-ARX model, the LFWRBF-ARX model introduces a local linear structure as the weights of output layer. This model varies with the working-point, it is a locally linear ARX model when the working-point is fixed and it becomes a globally nonlinear ARX model when the working-point changes. According to the model structure, a structured nonlinear parameter optimization method (SNPOM) was applied to identify the structure, linear and nonlinear parameters of model. Then the identified model-based predictive controller was designed. The results show that the LFWRBF-ARX model may capture the local and global dynamic characteristics of the magnetic levitation ball system well, and the ball may be controlled to levitate stably. The control results are better than those of the general ARX model and RBF-ARX model-based control.",
keywords = "Magnetic levitation (maglev) system, Nonlinear ARX model, Nonlinear model predictive control, RBF-ARX model with linear functional weights (LFWRBF-ARX), SNPOM",
author = "Yemei Qin and Hui Peng and Wenjie Ruan",
year = "2016",
month = aug,
day = "26",
doi = "10.11817/j.issn.1672-7207.2016.08.019",
language = "English",
volume = "47",
pages = "2676--2684",
journal = "Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology)",
issn = "1672-7207",
publisher = "Central South University of Technology",
number = "8",

}

RIS

TY - JOUR

T1 - Modeling and predictive control of magnetic levitation ball system based on RBF-ARX model with linear functional weights

AU - Qin, Yemei

AU - Peng, Hui

AU - Ruan, Wenjie

PY - 2016/8/26

Y1 - 2016/8/26

N2 - In order to fully describe the dynamic behavior of the magnetic levitation ball system which has nonlinear, open-loop instable and rapid response characteristics, RBF-ARX model with linear functional weights (LFWRBF-ARX model) was established. Different from a general RBF-ARX model, the LFWRBF-ARX model introduces a local linear structure as the weights of output layer. This model varies with the working-point, it is a locally linear ARX model when the working-point is fixed and it becomes a globally nonlinear ARX model when the working-point changes. According to the model structure, a structured nonlinear parameter optimization method (SNPOM) was applied to identify the structure, linear and nonlinear parameters of model. Then the identified model-based predictive controller was designed. The results show that the LFWRBF-ARX model may capture the local and global dynamic characteristics of the magnetic levitation ball system well, and the ball may be controlled to levitate stably. The control results are better than those of the general ARX model and RBF-ARX model-based control.

AB - In order to fully describe the dynamic behavior of the magnetic levitation ball system which has nonlinear, open-loop instable and rapid response characteristics, RBF-ARX model with linear functional weights (LFWRBF-ARX model) was established. Different from a general RBF-ARX model, the LFWRBF-ARX model introduces a local linear structure as the weights of output layer. This model varies with the working-point, it is a locally linear ARX model when the working-point is fixed and it becomes a globally nonlinear ARX model when the working-point changes. According to the model structure, a structured nonlinear parameter optimization method (SNPOM) was applied to identify the structure, linear and nonlinear parameters of model. Then the identified model-based predictive controller was designed. The results show that the LFWRBF-ARX model may capture the local and global dynamic characteristics of the magnetic levitation ball system well, and the ball may be controlled to levitate stably. The control results are better than those of the general ARX model and RBF-ARX model-based control.

KW - Magnetic levitation (maglev) system

KW - Nonlinear ARX model

KW - Nonlinear model predictive control

KW - RBF-ARX model with linear functional weights (LFWRBF-ARX)

KW - SNPOM

U2 - 10.11817/j.issn.1672-7207.2016.08.019

DO - 10.11817/j.issn.1672-7207.2016.08.019

M3 - Journal article

AN - SCOPUS:84988737070

VL - 47

SP - 2676

EP - 2684

JO - Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology)

JF - Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology)

SN - 1672-7207

IS - 8

ER -