Design of Disturbance Suppression Control for Shaking-Table by Data-driven Control

Shaking tables are test devices to check the seismic strength of a structure. If the control performance of the shaking table is poor, the desired seismic waveform cannot be reproduced, and the test desired by the user cannot be carried out. Control adjustment by the control operator is necessary to ensure that the shaking table provides adequate control performance. However, the control adjustment is very difficult for unskilled operators because the response of the shaking table changes due to the influence of the reaction force and nonlinear friction of the specimen. We expect that the application of the data-driven control will make it possible for unskilled operators to easily design the optimal control parameters. In this study, we added two feedback controls to suppress the effects of the reaction force and nonlinear friction, respectively. Then, we applied data-driven control to adjust feedback control parameters. We verified the effectiveness of the proposed method through numerical simulations.