首页> 外文会议>International Conference on Vibration Problems >Online Condition Monitoring of a Flexible Rotor System with the Help of Active Magnetic Bearings
【24h】

Online Condition Monitoring of a Flexible Rotor System with the Help of Active Magnetic Bearings

机译:在主动磁轴承的帮助下,柔性转子系统的在线状态监测

获取原文

摘要

Health monitoring of rotating machines is highly important for continuously running plants such as power generation industries, cryogenic engines of space vehicles, and multi shaft aero engines. In past, vibration based condition monitoring techniques attained a prime position among the researchers but the vibration based condition monitoring technique has less adaptability in a higher frequency range; to overcome this limitation, online condition monitoring, i.e., active controlling with the help of controlling parameters of Active Magnetic Bearings (AMBs) is presented in this article. An identification methodology is developed to estimate the characteristic parameters of AMBs, coupling misalignment in addition with inherent unbalance of the system. Shafts are considered as flexible and modeled with the Euler-Bernoulli beam theory. Proportional-Integral-Derivative (PID) controller is used for controlling the current in AMB. Finite Element Method (FEM) is used to obtain Equations of Motion (EOMs) of the coupled rotor system. The developed EOMs are modeled in the SIMULINK and solved by fourth-order Runga-Kutta method to obtain the displacement and the current response. Fast Fourier Transform (FFT) is used to convert the time domain responses into frequency domain responses. For brevity, half spectrum analysis is carried out to obtain the multi-frequency responses at different operating conditions. The proposed methodology is tested against different levels of measurement noise to check the robustness of the system for estimating the characteristic parameters using multi-frequency responses.
机译:旋转机器的健康监测对于连续运行的植物,诸如发电行业,太空车辆的低温发动机和多轴航空发动机的旋转设备非常重要。在过去,基于振动的状态监测技术达到了研究人员中的主要位置,但基于振动的状态监测技术在更高的频率范围内具有较小的适应性;为了克服该限制,在本文中提出了在线状态监测,即,利用控制有源磁轴承(AMB)的参数的主动控制。开发了一种识别方法来估计AMB的特征参数,除了系统的固有不平衡之外,还包括耦合未对准。轴被认为是柔性的,并用Euler-Bernoulli光束理论建模。比例 - 积分衍生物(PID)控制器用于控制AMB的电流。有限元方法(FEM)用于获得耦合转子系统的运动(EOM)方程。开发的EOM在Simulink中建模并由四阶Runga-Kutta方法解决,以获得位移和电流响应。快速傅立叶变换(FFT)用于将时域响应转换为频域响应。为了简洁起见,进行半频谱分析以在不同的操作条件下获得多频响应。该提出的方法测试针对不同级别的测量噪声测试,以检查系统的稳健性,用于使用多频响应估计特征参数。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号