Research on vehicle lateral active vibration reduction system based on centrifugal harmonic force generator under constrained information

Modern intelligent transportation and heavy-duty transport technologies increasingly operate under complex road conditions and high-load environments, making vehicle lateral vibration a critical concern for driving safety and ride comfort. Traditional passive suspension systems have inherent limitations in effectively addressing complex and time-varying disturbances. To overcome these challenges, this paper introduces centrifugal harmonic force generator technology and proposes a lateral active vibration reduction control scheme for information-constrained conditions. In practical engineering environments, lateral disturbance forces are difficult to measure directly, while often only the lateral acceleration of the vehicle body is available. A single-degree-of-freedom (SDOF) lateral vibration dynamics model and an equivalent lateral control force model are established. A vehicle motion state reconstruction method relying on a single acceleration sensor is then designed using numerical integration and digital low-pass filtering. Building upon this, a PD feedback closed-loop control framework is constructed, and the Particle Swarm Optimization (PSO) algorithm is introduced to optimize the control gains under the physical constraints of the generator. Numerical simulation results demonstrate that the PSO-optimized active control strategy reduces the lateral vibration index by 96.67%, while significantly suppressing lateral displacement and transient acceleration peaks. The results demonstrate the effectiveness of the proposed control strategy and provide a potential approach for active vibration reduction in heavy-duty vehicles and large-scale industrial equipment.