Full Text:   <2391>

Summary:  <1901>

CLC number: TP13

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2019-01-08

Cited: 0

Clicked: 6095

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Xujun Lyu

http://orcid.org/0000-0002-2466-2338

-   Go to

Article info.
Open peer comments

Frontiers of Information Technology & Electronic Engineering  2019 Vol.20 No.1 P.120-130

http://doi.org/10.1631/FITEE.1800606


On robustness of an AMB suspended energy storage flywheel platform under characteristic model based all-coefficient adaptive control laws


Author(s):  Xujun Lyu, Long Di, Zongli Lin

Affiliation(s):  College of Engineering, Huazhong Agricultural University, Wuhan 430070, China; more

Corresponding email(s):   lyuxujun@mail.hzau.edu.cn, ld4vv@virginia.edu, zl5y@virginia.edu

Key Words:  Intelligent control, Robustness, Uncertainty, Disturbance rejection, Active magnetic bearings, Energy storage flywheels


Xujun Lyu, Long Di, Zongli Lin. On robustness of an AMB suspended energy storage flywheel platform under characteristic model based all-coefficient adaptive control laws[J]. Frontiers of Information Technology & Electronic Engineering, 2019, 20(1): 120-130.

@article{title="On robustness of an AMB suspended energy storage flywheel platform under characteristic model based all-coefficient adaptive control laws",
author="Xujun Lyu, Long Di, Zongli Lin",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="20",
number="1",
pages="120-130",
year="2019",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1800606"
}

%0 Journal Article
%T On robustness of an AMB suspended energy storage flywheel platform under characteristic model based all-coefficient adaptive control laws
%A Xujun Lyu
%A Long Di
%A Zongli Lin
%J Frontiers of Information Technology & Electronic Engineering
%V 20
%N 1
%P 120-130
%@ 2095-9184
%D 2019
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1800606

TY - JOUR
T1 - On robustness of an AMB suspended energy storage flywheel platform under characteristic model based all-coefficient adaptive control laws
A1 - Xujun Lyu
A1 - Long Di
A1 - Zongli Lin
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 20
IS - 1
SP - 120
EP - 130
%@ 2095-9184
Y1 - 2019
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1800606


Abstract: 
A characteristic model based all-coefficient adaptive control law was recently implemented on an experimental test rig for high-speed energy storage flywheels suspended on magnetic bearings. Such a control law is an intelligent control law, as its design does not rely on a pre-established mathematical model of a plant but identifies its characteristic model while the plant is being controlled. Extensive numerical simulations and experimental results indicated that this intelligent control law outperforms a $mu$-synthesis control law, originally designed when the experimental platform was built in terms of their ability to suppress vibration on the high-speed test rig. We further establish, through an extensive simulation, that this intelligent control law possesses considerable robustness with respect to plant uncertainties, external disturbances, and time delay.

基于特征模型的全系数自适应磁悬浮储能飞轮控制算法鲁棒性研究

摘要:基于特征模型的全系数自适应控制算法最近在一个磁悬浮轴承支承的高速储能飞轮实验平台实现。该控制算法是一个智能控制算法,它的设计不依赖于对象的数学模型,但能在控制过程中在线辨识特征模型。大量数值仿真和实验结果表明,此智能控制算法控制效果比原有μ综合控制算法更好,该μ综合控制算法最初在高速实验台上根据其抑制振动能力设计。大量仿真进一步证实此智能控制算法在考虑模型不确定性、外界扰动以及时滞情况下具有相当强鲁棒性。

关键词:智能控制;鲁棒性;不确定性;抗干扰;主动磁悬浮轴承;储能飞轮

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]Brown GV, Kascak AF, Jansen RH, et al., 2005. Stabililizing gyroscopic modes in magnetic-bearing-supported flywheels by using cross-axis proportional gains. Proc AIAA Guidance, Navigation, and Control Conf and Exhibit, p.5955.

[2]Dever TP, Brown GV, Duffy KP, et al., 2004. Modeling and development of magnetic bearing controller for high speed flywheel system. $2^rm nd$ Int Energy Conversion Engineering Conf, p.5626.

[3]Di L, Lin ZL, 2014. Control of a flexible rotor active magnetic bearing test rig: a characteristic model based all-coefficient adaptive control approach. Contr Theor Technol, 12(1):1-12.

[4]Farhadi M, Mohammed O, 2016. Energy storage technologies for high-power applications. IEEE Trans Ind Appl, 52(3):1953-1961.

[5]Hebner R, Beno J, Walls A, 2002. Flywheel batteries come around again. IEEE Spectr, 39(4):46-51.

[6]Koohi-Kamali S, Tyagi VV, Rahim NA, et al., 2013. Emergence of energy storage technologies as the solution for reliable operation of smart power systems: a review. Renew Sust Energ Rev, 25:135-165.

[7]Li GX, Lin ZL, Allaire PE, et al., 2006. Modeling of a high speed rotor test rig with active magnetic bearings. J Vibr Acoust, 128(3):269-281.

[8]Lyu XJ, Di L, Yoon SY, et al., 2016. A platform for analysis and control design: emulation of energy storage flywheels on a rotor-AMB test rig. Mechatronics, 33:146-160.

[9]Lyu XJ, Di L, Lin ZL, et al., 2018a. Characteristic model based all-coefficient adaptive control of an AMB suspended energy storage flywheel test rig. Sci China Inform Sci, 61(11):112204.

[10]Lyu XJ, Di L, Lin ZL, et al., 2018b. Performance of AMB suspended energy sorage flywheel controllers in the presence of time delays. $16^rm{th}$ Int Symp on Magentic linebreak Bearings.

[11]Mousavi G SM, Faraji F, Majazi A, et al., 2017. A comprehensive review of flywheel energy storage system technology. Renew Sust Energ Rev, 67:477-490.

[12]Mushi SE, Lin Z, Allaire PE, 2012. Design, construction, and modeling of a flexible rotor active magnetic bearing test rig. IEEE/ASME Trans Mechatron, 17(6):1170-1182.

[13]Peng C, Fan YH, Huang ZY, et al., 2017. Frequency-varying synchronous micro-vibration suppression for a MSFW with application of small-gain theorem. Mech Syst Sign Process, 82:432-447.

[14]Reid CM, Miller TB, Hoberecht MA, et al., 2013. History of electrochemical and energy storage technology development at NASA Glenn research center. J Aerosp Eng, 26(2):361-371.

[15]Schweitzer G, Maslen EH, 2009. Magnetic Bearings: Theory, Design, and Application to Rotating Machinery. Springer Berlin, Germany.

[16]Sivrioglu S, Nonami K, Saigo M, 2004. Low power consumption nonlinear control with $H_infty$ compensator for a zero-bias flywheel AMB system. Mod Anal, 10(8):1151-1166.

[17]Wu HX, Hu J, Xie YC, 2007. Characteristic model-based all-coefficient adaptive control method and its applications. IEEE Trans Syst Man Cybern Part C (Appl Rev), 37(2):213-221.

[18]Wu HX, Hu J, Xie YC, 2009. Characteristic Model-Based and Intelligent Adaptive Control. Science and Technology Press of China, Beijing, China (in Chinese).

[19]Zhao HR, Wu QW, Hu SJ, et al., 2015. Review of energy storage system for wind power integration support. Appl Energy, 137:545-553.

Open peer comments: Debate/Discuss/Question/Opinion

<1>

Please provide your name, email address and a comment





Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - 2024 Journal of Zhejiang University-SCIENCE