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

吕许俊; 狄隆; 林宗利

doi:10.1631/FITEE.1800606

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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

复杂系统与智能控制专辑 | Updated：2022-05-19

- 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
- On robustness of an AMB suspended energy storage flywheel platform under characteristic model based all-coefficient adaptive control laws
- 信息与电子工程前沿（英文） 2019年20卷第1期页码：120-130
- 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：
  
  Project supported by the Fundamental Research Funds for the Central Universities, China (No. 2662018QD031)
- DOI：10.1631/FITEE.1800606
  中图分类号： TP13
- 收稿：2019-09-28，
  
  修回：2019-;1-;8，
  
  纸质出版：2019-01
- Accepted：
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吕许俊, 狄隆, 林宗利. 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[J]. 信息与电子工程前沿（英文）, 2019,20(1):120-130.

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.
吕许俊, 狄隆, 林宗利. 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[J]. 信息与电子工程前沿（英文）, 2019,20(1):120-130. DOI： 10.1631/FITEE.1800606.

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

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