4.7 Article

Mini-max optimization of actuator/sensor placement for flexural vibration control of a rotating thin-walled cylinder over a range of speeds

期刊

JOURNAL OF SOUND AND VIBRATION
卷 506, 期 -, 页码 -

出版社

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jsv.2021.116105

关键词

Shell structure; Smart structure; Optimal control; Particle swarm optimization; Piezoelectric patch; Rotordynamics

资金

  1. Chiang Mai University
  2. Thailand Science Research and Innovation [RGU6280014]

向作者/读者索取更多资源

The study focuses on active control of a rotating thin-walled cylinder subject to flexural vibration, considering the dependency of dynamic behavior on rotational speed and the potential for loss of controllability due to frequency-crossings. An actuator/sensor placement approach based on mini-max optimization is introduced, showing effectiveness in maintaining control performance over a targeted range of speeds. Experiments on a thin-walled rotor system with piezo patch actuators and sensors confirm the approach's potential and effectiveness.
For a rotating thin-walled cylinder subject to flexural vibration, active control can be applied using surface-mounted actuators and sensors. To achieve acceptable vibration control performance, the dependency of the dynamic behaviour on rotational speed must be accounted for in the control system design, including the selection and positioning of actuators and sensors. A key issue is that the natural modes of vibration of the cylinder wall involve circumferential travelling waves and, for certain rotational speeds, the frequency of a backward wave for a low order mode can become equal to that of a forward wave for a high order mode. It is shown that these frequency-crossings have important implications for the actuator/sensor placement problem due to the potential for loss of controllability. Accordingly, an actuator/sensor placement approach is introduced based on a mini-max optimization, where the system controllability is maximized for the worst-case rotational speed within a specified interval. Placement solutions are obtained through the application of a nested particle swarm optimization algorithm, used to find saddle-point solutions. The approach is shown to be effective for cases involving 2, 3 and 4 actuator/sensor pairs and with multi-mode model (including up to 16 modes). The results are confirmed by experiments on a thin-walled rotor system with piezo patch actuators and sensors, where H 2 control algorithms are applied to suppress vibrational resonances within a control bandwidth of 20 0-120 0 Hz. The potential for loss of controllability at certain rotational speeds is confirmed, as well as the effectiveness of the optimal placement solutions in maintaining control performance over a targeted range of speeds. (c) 2021 Elsevier Ltd. All rights reserved.

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