Hybrid Control Strategy for Ultralow-Frequency Vibration Isolation

Researchers at the Harbin Institute of Technology in China have developed a data-based hybrid control strategy for ultralow-frequency vibration isolation to address the sensor noise and model dependency issues that affect the precision of control signals. The researchers, led by Chenglong Yu, used a system state observer to recursively update state estimates using sensor measurement information and a closed-loop feedback controller based on model predictive control to incorporate the system's relative displacement, balancing resonance suppression and stability. The proposed strategy significantly reduces the vibration transmissibility in the 0.8-20 Hz frequency range and constrains relative displacement within 5 μm. Simulation and experimental results demonstrate the effectiveness of the strategy in suppressing vibrations at the system's natural frequency.

Key Takeaways:

  • The researchers developed a data-based hybrid control strategy for ultralow-frequency vibration isolation to address sensor noise and model dependency issues.
  • The strategy uses a system state observer to recursively update state estimates using sensor measurement information.
  • A closed-loop feedback controller based on model predictive control is designed to incorporate the system's relative displacement, balancing resonance suppression and stability.
  • The proposed strategy constrains relative displacement within 5 μm and significantly reduces the vibration transmissibility in the 0.8-20 Hz frequency range.
  • Simulation and experimental results demonstrate the effectiveness of the strategy in suppressing vibrations at the system's natural frequency.
  • The research has tremendous potential for engineering applications in micro-vibration isolation for ultra-precision microscope measurement equipment.
  • The research was funded by the Postdoctoral Fellowship Program of Chinese Postdoctoral Science Foundation (CPSF), Natural Science Foundation of Heilongjiang Province, and Advanced Postdoctoral Programs of Zhejiang Province.
  • The research team includes Chenglong Yu, Tianyi Li, Bo Zhao, Jiubin Tan, and Kenneth T. V. Grattan.

Statistics:

  • The proposed strategy significantly reduces the vibration transmissibility in the 0.8-20 Hz frequency range.
  • The strategy constrains relative displacement within 5 μm.
  • The research has been peer-reviewed.
  • The research has been published in the Ieee Transactions On Instrumentation and Measurement journal.
  • The research has been funded by the Postdoctoral Fellowship Program of Chinese Postdoctoral Science Foundation (CPSF), Natural Science Foundation of Heilongjiang Province, and Advanced Postdoctoral Programs of Zhejiang Province.

Sources:

  • Data-based Active Vibration Control Strategy for Ultralow Frequency Isolation System Considering Sensor Noise Measurements. Ieee Transactions On Instrumentation and Measurement, 2025;74.
  • Ieee Transactions On Instrumentation and Measurement can be contacted at: Ieee-inst Electrical Electronics Engineers Inc, 445 Hoes Lane, Piscataway, NJ 08855-4141, USA. (Institute of Electrical and Electronics Engineers - www.ieee.org/; Ieee Transactions On Instrumentation and Measurement - ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=19)
  • Chenglong Yu, Ministry of Industry and Information Technology, Harbin Institute of Technology, Ctr Ultraprecis Optoelect Instrument Engn, Key Lab Ultraprecis Intelligent Instrumentat, Harbin 150080, People's Republic of China.
  • Tianyi Li, Bo Zhao, Jiubin Tan, and Kenneth T. V. Grattan.