Semi-active neuro-control of cable vibration based on reduced-order model
基于降阶模型的斜拉索振动的半主动神经网络控制

This paper designs a semi-active neuro-control of cable vibration based on a reduced-order model to suppress the cable vibration, using the smart elctro/magneto rheological (ER/MR) dampers. The smart semi-active ER/MR damper has great advantages in vibration control in civil engineering, and has attracted much attention from researchers. The paper proposes a neuro-estimator and neuro-controller for the semi-active vibration control of stay cables. The effectiveness of the proposed neural network control strategies is numerically verified by applying to a 12 m long scale-model cable prototype connected with an MR damper near the lower anchorage. The generalization of the proposed two neural networks is verified, which shows the adaptive capability of the configured neuro-controllers under the dynamic excitation distinct from training. The analysis results show that the proposed control strategies can effectively implement semi-active vibration control of stay cables in the use of MR dampers.