Research On Control System Of Shaking Table Based On Two Advanced PID And Anslysis On Coupled Model With Table

Shaking table test is an effective method of research on aseismic performance of structures. However, shaking table system is a very complicated nonlinear system, errors between feedback and desired signal could not be neglected. The quality of the table's output signal will directly influence the test results. And the control system plays the vital role in shaking table systems.This paper summed up the development and status of the electro-hydraulic servo vibration table systems at home and abroad, and analyzed the composition of the electro-hydraulic servo systems in detail. Based on Matlab/Simulink, the mathematical model was determined. In this paper, several advanced methods were studied under the simulation of the electro-hydraulic servo systems. The main contents and innovations are described as follow.(a) Based on combination between PID control theory and neural network algorithm, the new kind of neural network PID controller was designed and applicated on the servo systems. The results of simulation indicated that the neural network PID controller possessed less response time and required less time to achieve the state of stability. After the anslysis on the respone of different signal, conclusions was leaded that the neural neteork PID controller was particularly effective in the servo systems.(b) The theory of fuzzy control was advanced and based on experience. Because of the shortcomings of PID controllor, in this paper, a kind of fuzzy PID controller was designed above on the theory of fuzzy control and ordinary PID control. And it was used in the simulation model of servo systems. The simulation results show that table systems controlled by the fuzzy PID controller had good dynamic performance. This fuzzy PID controller was effective control method.(c) As was well known, in earthquake shaking table tests, the model was coupled with the table systems. Thereby affects on the dynamic characteristics of table could not neglected. In this paper, above the solve of the coupled equations between the simpled model and the table systems, the conclusion was made that the quality, the stiffness and the damp of systems would impact the dynamic properties of table systems.