Research on the feedback control strategy of smart spring vibration-reduction system based on PID algorithm

This paper presents a PID-based feedback control strategy for the smart spring vibration-reduction system (SSVRS), which is intended to suppress transverse vibrations in rotating machinery caused by mass imbalance. A transfer function model of the SSVRS is first established to systematically design the controller. This model allows the distinct modulation of the system’s damping, stiffness, and mass characteristics by the proportional, integral, and derivative parameters to be analyzed in detail. Based on this analysis, a novel feedback control strategy is proposed which dynamically selects and combines PID components according to real-time vibration states, achieving adaptive and effective suppression. Comprehensive simulations demonstrate the performance of the strategy: the peak vibration response under swept excitation is reduced by 66.1%, while under impulse loading, displacement offset decreases by 30% and recovery time is reduced by 70%. Experimental validation on a rotating machinery test rig confirms a 51.0% reduction in the resonance peak, thus substantiating the practical effectiveness of the proposed approach and its superior vibration suppression capability.