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Control of a flexible rotor active magnetic bearing test rig:a characteristic model based all-coefficient adaptive control approach

机译:柔性转子主动磁轴承试验台的控制:基于特征模型的全系数自适应控制方法

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摘要

Active magnetic bearings (AMBs) have found a wide range of applications in high-speed rotating machinery industry. The instability and nonlinearity of AMBs make controller designs difficult, and when AMBs are coupled with a flexible rotor, the resulting complex dynamics make the problems of stabilization and disturbance rejection, which are critical for a stable and smooth operation of the rotor AMB system, even more difficult. Proportional-integral-derivative (PID) control dominates the current AMB applications in the field. Even though PID controllers are easy to implement, there are critical performance limitations associated with them that prevent the more advanced applications of AMBs, which usually require stronger robustness and performance offered by modern control methods such as H-infinity control andμ-synthesis. However, these advanced control designs rely heavily on the relatively accurate plant models and uncertainty characterizations, which are sometimes difficult to obtain. In this paper, we explore and report on the use of the characteristic model based all-coefficient adaptive control method to stabilize a flexible rotor AMB test rig. In spite of the simple structure of such a characteristic model based all-coefficient adaptive controller, both simulation and experimental results show its strong performance.
机译:主动磁性轴承(AMB)在高速旋转机械行业中已发现了广泛的应用。 AMB的不稳定性和非线性使控制器设计变得困难,并且当AMB与柔性转子耦合时,所产生的复杂动力学特性会带来稳定和抗扰性问题,这对于转子AMB系统的稳定和平稳运行至关重要,甚至更加困难。比例积分微分(PID)控制在该领域当前的AMB应用程序中占主导地位。尽管PID控制器易于实现,但与它们相关的关键性能限制阻止了AMB的更高级应用,这通常需要现代控制方法(如H无限控制和μ合成)提供的更强的鲁棒性和性能。但是,这些先进的控制设计在很大程度上依赖于有时很难获得的相对准确的工厂模型和不确定性特征。在本文中,我们探索并报告了基于特征模型的全系数自适应控制方法来稳定柔性转子AMB测试装置的过程。尽管这种基于特征模型的全系数自适应控制器结构简单,但仿真和实验结果均显示出其强大的性能。

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  • 来源
    《控制理论与应用(英文版)》 |2014年第1期|1-12|共12页
  • 作者

    Long DI; Zongli LIN;

  • 作者单位

    Charles L. Brown Department of Electrical and Computer Engineering, University of Virginia, P.0. Box 400743, Charlottesvil e, VA 22904-4743, U.S.A;

    Charles L. Brown Department of Electrical and Computer Engineering, University of Virginia, P.0. Box 400743, Charlottesvil e, VA 22904-4743, U.S.A;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
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