Adaptive optimization cooperative control method and system of multi-stage linkage damping structure
By employing an adaptive optimization control method based on multi-source sensing and hierarchical collaboration, the problem of low control accuracy and poor adaptability of multi-level linkage vibration reduction structures in complex vibration scenarios in existing technologies has been solved, achieving efficient and stable vibration reduction effects.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-21
- Publication Date
- 2026-07-17
AI Technical Summary
Existing control methods for multi-stage linkage vibration reduction structures lack the ability to fuse multi-source signals and accurately identify operating conditions, making it impossible to accurately distinguish different vibration conditions. This results in insufficient control targeting and a lack of adaptive adjustment and iterative optimization mechanisms, making it impossible to correct control commands in real time. Consequently, the control methods exhibit poor adaptability and stability in complex vibration scenarios.
By employing multi-source sensing, hierarchical collaboration, adaptive adjustment, and iterative optimization, combined with closed-loop feedback and synchronous control, a multi-dimensional state dataset is constructed to achieve accurate identification and adaptive adjustment of different vibration conditions, dynamically optimize control parameters, establish an optimal parameter library, and ensure synchronous linkage of vibration reduction units at all levels.
It improves the stability, adaptability and long-term vibration reduction performance of multi-stage linkage vibration reduction structure under complex vibration conditions, ensures real-time control and accuracy, reduces energy consumption, and achieves efficient vibration reduction effect.
Smart Images
Figure CN122410993A_ABST