Abstract
A hybrid control scheme that combines a self-tuning PIDfeedback loop and TDC-based feedforward scheme is proposed in this study to cope with an active pneumatic vibration isolator. In order to establish an effective TDC feedforward control a reliable mathematical model of the pneumatic isolator is required and developed firstly. Numerical and experimental investigations on the validity of the mathematical model are performed. It is found that although slight discrepancy exists between predicted and observed behaviors of the system, the overall model performance is acceptable. The resultant model is then applied in the design of the TDC feedforward scheme. A neuro-based adaptive PID control is integrated with the TDC feedforward algorithm to form the hybrid control. Numerical and experimental isolation tests are carried out to examine the suppression performances of the proposed hybrid control scheme. The results show that the proposed hybrid control method outperforms solely TDC feedforward while the latter outperforms the passive isolation system. Moreover, the proposed hybrid control scheme can suppress the vibration near the system's resonance.
| Original language | English |
|---|---|
| Title of host publication | 30th Conference on Mechanical Vibration and Noise |
| Publisher | American Society of Mechanical Engineers (ASME) |
| ISBN (Electronic) | 9780791851852 |
| DOIs | |
| State | Published - 2018 |
| Externally published | Yes |
| Event | ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2018 - Quebec City, Canada Duration: 26 08 2018 → 29 08 2018 |
Publication series
| Name | Proceedings of the ASME Design Engineering Technical Conference |
|---|---|
| Volume | 8 |
Conference
| Conference | ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2018 |
|---|---|
| Country/Territory | Canada |
| City | Quebec City |
| Period | 26/08/18 → 29/08/18 |
Bibliographical note
Publisher Copyright:© Copyright 2018 ASME.
Keywords
- Neural network control
- Pneumatic isolation system
- Self-tuning PID control
- Time delay control (TDC)
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