Design and experiment of a novel intelligent self-tuned dynamic vibration absorber based on simply-supported double leaf springs

To enhance the low-frequency vibration reduction performance of Self-tuned Dynamic Vibration Absorber (SDVA) and improve its tuning accuracy after long-term operation in complex variable-frequency environments, a simply-supported double-leaf-spring (SD) structure is introduced into the design of the SDVA based on self-correcting control algorithm in this paper. The nonlinear variation rule between the frequency of SD-SDVA and the support length is obtained through theoretical analysis, finite element simulations, and experimental validation. A self-correcting control system, developed using a PID feedback algorithm combined with a stepwise optimization algorithm, enables precise and rapid frequency tuning. The self-tuning vibration reduction test of the SD-SDVA is studied, and the results show that the proposed SD-SDVA has a good vibration reduction effect in the low-frequency range, and the effect can reach 94.6% when the SD-SDVA is tuned to the first-order main resonance. Additionally, the case of frequency detuning due to long-term operation is simulated, and the self-correcting vibration reduction ability of the SD-SDVA is verified. The experiment showed that the developed control algorithm can greatly improve the absorption ability of the absorber under frequency adjustment mismatch and enhance its ability to operate stably in complex variable frequency vibration environments.