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

Xujun LYU; Long DI; Zongli LIN

doi:10.1631/FITEE.1800606

Your Location：

Home >

Browse articles >

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

Special Issue on Complex System and Intelligent Control | Updated：2022-05-19

- On robustness of an AMB suspended energy storage flywheel platform under characteristic model based all-coefficient adaptive control laws
- 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
- Frontiers of Information Technology & Electronic Engineering Vol. 20, Issue 1, Pages: 120-130(2019)
- Affiliations：
  
  College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
  ASML-HMI, CA 95131, USA
  Charles L. Brown Department of Electrical and Computer Engineering, University of Virginia, VT 22904-4743, USA
- Author bio：
  
  Xujun LYU, E-mail: lyuxujun@mail.hzau.edu.cn
  [ "Long DI, E-mail: ld4vv@virginia.edu" ]
  [ "Zongli LIN, E-mail: zl5y@virginia.edu" ]
- Funds：
- DOI：10.1631/FITEE.1800606
  CLC： TP13
- Received：28 September 2019，
  
  Revised：2019-;1-;8，
  
  Published：2019-01
- Accepted：
Scan QR Code
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.
DOI：

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. DOI： 10.1631/FITEE.1800606.

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

综合控制算法更好，该

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。

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

-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.

关键词

Keywords

references

GV Brown , , , AF Kascak , , , RH Jansen , , , 等 . . Stabililizing gyroscopic modes in magnetic-bearing-supported flywheels by using cross-axis proportional gains . . Proc AIAA Guidance, Navigation, and Control Conf and Exhibit , , 2005 . . p.5955 DOI: 10.2514/6.2005-5955 http://doi.org/10.2514/6.2005-5955 . .

TP Dever , , , GV Brown , , , KP Duffy , , , 等 . . Modeling and development of magnetic bearing controller for high speed flywheel system . . 2 nd Int Energy Conversion Engineering Conf , , 2004 . . p.5626 DOI: 10.2514/6.2004-5626 http://doi.org/10.2514/6.2004-5626 . .

L Di , , , ZL Lin . . Control of a flexible rotor active magnetic bearing test rig: a characteristic model based all-coefficient adaptive control approach . . Contr Theor Technol , , 2014 . . 12 ( ( 1 ): ): 1 - - 12 . . DOI: 10.1007/s11768-014-0184-0 http://doi.org/10.1007/s11768-014-0184-0 . .

M Farhadi , , , O Mohammed . . Energy storage technologies for high-power applications . . IEEE Trans Ind Appl , , 2016 . . 52 ( ( 3 ): ): 1953 - - 1961 . . DOI: 10.1109/TIA.2015.2511096 http://doi.org/10.1109/TIA.2015.2511096 . .

R Hebner , , , J Beno , , , A Walls . . Flywheel batteries come around again . . IEEE Spectr , , 2002 . . 39 ( ( 4 ): ): 46 - - 51 . . DOI: 10.1109/6.993788 http://doi.org/10.1109/6.993788 . .

S Koohi-Kamali , , , VV Tyagi , , , NA Rahim , , , 等 . . Emergence of energy storage technologies as the solution for reliable operation of smart power systems: a review . . Renew Sust Energ Rev , , 2013 . . 25 135 - - 165 . . DOI: 10.1016/j.rser.2013.03.056 http://doi.org/10.1016/j.rser.2013.03.056 . .

GX Li , , , ZL Lin , , , PE Allaire , , , 等 . . Modeling of a high speed rotor test rig with active magnetic bearings . . J Vibr Acoust , , 2006 . . 128 ( ( 3 ): ): 269 - - 281 . . DOI: 10.1115/1.2172254 http://doi.org/10.1115/1.2172254 . .

XJ Lyu , , , L Di , , , SY Yoon , , , 等 . . A platform for analysis and control design: emulation of energy storage flywheels on a rotor-AMB test rig . . Mechatronics , , 2016 . . 33 146 - - 160 . . DOI: 10.1016/j.mechatronics.2015.12.007 http://doi.org/10.1016/j.mechatronics.2015.12.007 . .

XJ Lyu , , , L Di , , , ZL Lin , , , 等 . . Characteristic model based all-coefficient adaptive control of an AMB suspended energy storage flywheel test rig . . Sci China Inform Sci , , 2018a . . 61 ( ( 11 ): ): 112204 DOI: 10.1007/s11432-017-9327-0 http://doi.org/10.1007/s11432-017-9327-0 . .

XJ Lyu , , , L Di , , , ZL Lin , , , 等 . . Performance of AMB suspended energy sorage flywheel controllers in the presence of time delays . . 16 th Int Symp on Magentic Bearings , , 2018b . . .

G SM Mousavi , , , F Faraji , , , A Majazi , , , 等 . . A comprehensive review of flywheel energy storage system technology . . Renew Sust Energ Rev , , 2017 . . 67 477 - - 490 . . DOI: 10.1016/j.rser.2016.09.060 http://doi.org/10.1016/j.rser.2016.09.060 . .

SE Mushi , , , Z Lin , , , PE Allaire . . Design, construction, and modeling of a flexible rotor active magnetic bearing test rig . . IEEE/ASME Trans Mechatron , , 2012 . . 17 ( ( 6 ): ): 1170 - - 1182 . . DOI: 10.1109/TMECH.2011.2160456 http://doi.org/10.1109/TMECH.2011.2160456 . .

C Peng , , , YH Fan , , , ZY Huang , , , 等 . . Frequency-varying synchronous micro-vibration suppression for a MSFW with application of small-gain theorem . . Mech Syst Sign Process , , 2017 . . 82 432 - - 447 . . DOI: 10.1016/j.ymssp.2016.05.033 http://doi.org/10.1016/j.ymssp.2016.05.033 . .

CM Reid , , , TB Miller , , , MA Hoberecht , , , 等 . . History of electrochemical and energy storage technology development at NASA Glenn research center . . J Aerosp Eng , , 2013 . . 26 ( ( 2 ): ): 361 - - 371 . . DOI: 10.1061/(ASCE)AS.1943-5525.0000323 http://doi.org/10.1061/(ASCE)AS.1943-5525.0000323 . .

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

S Sivrioglu , , , K Nonami , , , M Saigo . . Low power consumption nonlinear control with H ∞ compensator for a zero-bias flywheel AMB system . . Mod Anal , , 2004 . . 10 ( ( 8 ): ): 1151 - - 1166 . . DOI: 10.1177/1077546304043544 http://doi.org/10.1177/1077546304043544 . .

HX Wu , , , J Hu , , , YC Xie . . Characteristic model-based all-coefficient adaptive control method and its applications . . IEEE Trans Syst Man Cybern Part C (Appl Rev) , , 2007 . . 37 ( ( 2 ): ): 213 - - 221 . . DOI: 10.1109/TSMCC.2006.887004 http://doi.org/10.1109/TSMCC.2006.887004 . .

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

HR Zhao , , , QW Wu , , , SJ Hu , , , 等 . . Review of energy storage system for wind power integration support . . Appl Energy , , 2015 . . 137 545 - - 553 . . DOI: 10.1016/j.apenergy.2014.04.103 http://doi.org/10.1016/j.apenergy.2014.04.103 . .

Views

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

SRIS-Net: a robust image steganography algorithm based on feature score maps

Identity-based threshold proxy re-encryption scheme from lattices and its applications

Novel robust simultaneous localization and mapping for long-term autonomous robots

Uncertain bilevel knapsack problem based on an improved binary wolf pack algorithm

Supply chain network design under uncertainty with new insights from contracts

Related Author

Haoyuan SUN

Long ZHENG

Guomei WANG

Zhi LI

Ai XIAO

Liqiang WU

Yiliang HAN

Xiaoyuan YANG

Related Institution

School of Computer Science and Technology, Guizhou University

Key Laboratory of Network and Information Security, Engineering University of People's Armed Police

MOE Key Laboratory of Computer Network and Information Security, Xidian University

School of Mechanical Engineering and Automation, Harbin Institute of Technology

Zhuhai Big Data Research Institute

Chat

Address：Zhejiang University Press, 148 Tianmushan Road, Hangzhou, China Postal code：310028
Tel：+86-571-88273162 Email：fitee@zju.edu.cn
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰