Research On Structural Seismic Optimization Control Technology

With the development of science and technology,at the present stage,for the construction of structural engineering,the research and analysis process of the centralized control strategy has a relatively universal theoretical basis.Stable dispersion control can solve the problem that the above centralized control strategy relies too much on the central processor.The strategy of subdividing the entire building system into several low-order sub-structure systems is to decentralize the control strategy.In this study,based on the role of seismic waves in high-rise buildings,decentralized active control was used to control the inter-layer displacement,acceleration,and control forces.The theoretical derivation,stability judgment,and genetic algorithm optimization were applied to the decentralized control system.Actuator mounting position.The specific research content is as follows:(1)Introduce the structural vibration active control algorithm.The linear quadratic optimal control algorithm(LQR)is theoretically analyzed.In order to ensure the realization of the goal,the use of genetic algorithm to optimize the installation position of the actuator,design a new fitness function,require the controller to fully play its role,and improve the accuracy of the control.Finally,through MATLAB/Simulink,scientific calculations are performed to compare the displacements,accelerations,and structural control forces of structural layers between uncontrolled conditions,linear quadratic optimization control algorithms,and LQR control algorithms based on improved genetic algorithms.According to the final research results,it can be observed that the optimized control algorithm plays an important positive role in the seismic performance of the building structure.(2)Combining a series of problems arising in the process of centralized control,using decentralized control methods to conduct experiments,the more complex main system is divided scientifically into several low-order subsystems,and discrete linear quadratic classical optimization is applied at the same time.Control Algorithm(LQR)Application Among them,an improved genetic algorithm is used to optimize the installation position of the actuator for the disperse subsystem.The control effect of the vibration of the building structure was studied.After MATLAB/Simulink simulation,the decentralized LQR control algorithm and genetic algorithm were applied to optimize the inter-layer displacement and acceleration peaks in the decentralized LQR control algorithm for structural seismic response,and the control power schedules were compared with each other to verify that the control effect was good..(3)Explain several common genetic algorithms.In addition,a weighted calculation method was used to improve the fitness function of the genetic algorithm,and three new fitness functions of the structure control index were given.A genetic algorithm was used to optimize the LQR control algorithm for the installation position of the actuator.The layer Benchmark model is the object of study,and the simulation analysis of the example of the maximum displacement and acceleration between the layers is performed.The results show that the method is effective.