Controlling the sliding mode of the earthquake simulator table using adaptive Uncented Kalman filter

Earthquakes are known as one of the most important dangerous factors in the field of structural engineering.To maintain public safety and reduce damage caused by earthquakes, structural engineers must design structures that can withstand severe earthquakes using advanced technologies.One of the efficient tools in the field of testing the resistance of structures against earthquakes is the use of an earthquake simulator table.In this paper, the stabilization and control of the earthquake simulator has been investigated using the sliding mode controller and adaptive Uncented Kalman filter.To adapt the Kalman filter without trace, the Tendrin Shib algorithm has been used.In the proposed method, the states of the seismic table are estimated using accelerometer, encoder and camera, and then using the states estimated by the adaptive Uncented Kalman filter, the sliding mode controller is used to stabilize and control the closed loop system of the simulator table.The sliding mode controller tracks the reference input, removing external disturbance and noise.The image processing approach has been used in online measurement of the displacement by the camera.The performance of the proposed structure has been investigated under the simulation and earthquake table of Arak University Research Center.