Research On Compensation Optimization Control Of Shaking Table Based On Improved PSO

Seismic simulation shaking table is a very important seismic research test equipment,the research and development of the equipment involves civil engineering,electronics,numerical control,machine control,hydraulic,mechanical and electrical,digital electricity and other fields.The whole shaking table system can be divided into physical system and control system,the control system plays an important role in the control precision of the whole system.In order to further explore the control method of high performance for shaking table and improve the system waveform reproduction accuracy,the shaking table system of Xinyang Normal University is taken as the research object in this paper,with the system frequency response characteristics and waveform reproduction accuracy as the evaluation criteria,based on the theoretical analysis of shaking table system and the principle analysis of particle swarm optimization algorithm,an improved particle swarm optimization（PSO）algorithm is proposed to optimize the control parameters and improve the control precision of the shaking table system.An improved particle swarm optimization algorithm is proposed,the control parameters of the system are optimized and adjusted,and the control precision of the shaking table system is improved.Then,the improved algorithm is combined with mesa counter-force compensation mechanism to realize the optimal compensation control of shaking table system considering the interaction between specimen and mesa.And MATLAB/Simulink is used to complete the frequency response characteristics analysis and simulation modeling analysis of the shaking table system under different control conditions.The main research contents are as follows:（1）The frequency response characteristics of shaking table system under the openloop control and three-parameter closed-loop control are analyzed and explored,and the theoretical transmission function of shaking table system under three-parameter control is derived.The system simulation model is built by MATLAB/ Simulink,and the modeling process is briefly described;The influence of different control parameters on waveform reproduction accuracy of shaking table system is analyzed,and some suggestions for parameter optimization are given.（2）An improved PSO namely “Later Random and Nonlinear Dynamic Particle Swarm Optimization,LRNDPSO” is proposed,which has better optimization mechanism and parameter optimization efficiency.When the three-parameter control parameters optimized by the algorithm are used to control the shaking table system,the overall control of the system is better,and the effective bandwidth range of the system is wider than that of the theoretical parameter value control.System simulation results under different waveform signals show that: Compared with the theoretical parameter control,the waveform reproduction accuracy of the shaking table system under the optimized parameter control of the improved particle swarm optimization algorithm is higher.The effectiveness of the algorithm and the superiority of the optimized parameter control performance are further verified by the simulation comparison with the laboratory table feedback waveform data.（3）Based on the load characteristics of the specimen,the shaking table system considering the load characteristics was analyzed.The results show that the load characteristics have a big influence on the overall stability of the system,and resonance phenomenon occurs at the natural vibration frequency of the specimen,the resonance effect increases with the increase of the mass and natural frequency of the specimen,and decreases with the increase of the damping ratio.A counter-force compensation control method is proposed,and the new algorithm is used to optimize the parameters of the shaking table control system with compensation control.After the optimized compensation control,the control ability of the shaking table system is enhanced,the adverse effect of the load characteristics on the system is weakened,the effective bandwidth of the system is broadened,and the reappearance accuracy of the table waveform is significantly improved.