Friction pendulum semi-active seismic isolation system based on PSO algorithm and control method

Abstract

The invention discloses a friction pendulum semi-active seismic isolation system based on a PSO algorithm and a control method. A seismic isolation and reduction part comprises an upper column, a lower column, an electromagnet, a pressure sensor, a displacement sensor, a foundation, a friction pendulum support and a control part, wherein the friction pendulum support is composed of an upper cover plate, a lower cover plate, a sliding curved surface, a sliding block and a limiting block; wherein the control part is a control unit based on a PSO intelligent algorithm. The control method comprises the following steps: in an earthquake, the structure responds, the friction pendulum works, the pressure sensor and the displacement sensor receive signals, and information is transmitted to the control part; a computer data processor in the control part calculates the information through a PSO-LQR intelligent algorithm to obtain the optimal control force; and the optimal control force is transmitted to a control power switch through a control signal, so that a power supply is adjusted, an electromagnet is controlled to work, and the friction pendulum support works safely. The PSO algorithm is introduced to carry out optimization selection on parameters of the LQR controller, it is guaranteed that the system can operate efficiently, an optimal solution can be obtained, and finally global optimal control is achieved.

Description

technical field [0001] The invention belongs to the field of building structures, and relates to semi-active seismic reduction and isolation technology for earthquakes. Background technique [0002] Earthquake is a very destructive natural disaster. According to statistics, there are more than 5 million earthquakes every year on the earth. Earthquakes can cause a large number of casualties and the collapse of buildings will cause huge losses to human life and property. . But the current level of science and technology is still unable to predict the arrival of earthquakes, we can only take some measures, such as installing shock-absorbing and isolation devices, to minimize the damage caused by earthquakes. Due to the continuous development of friction pendulum bearings in recent years, more and more building structures use friction pendulum bearings to reduce the damage caused by earthquakes. However, with the use of the friction pendulum seismic isolation bearing, some pro...

AI Technical Summary

Problems solved by technology

However, with the use of the friction pendulum seismic isolation bearing, some problems about the friction pendulum seismic isolation bearing have also been exposed. The problems reflected in the actual use process are: insufficient vertical pull-out resistance, high friction coefficient change and insufficient self-resetting ability

However, the programming of genetic algorithm is complicated and there are many parameters to consider, while the particle swarm optimization algorithm is a swarm intelligence global optimization algorithm for modeling and simulating the behavior of birds foraging. This algorithm has the advantages of good optimization performance and fast convergence speed. It is widely used in the field of function optimization problem solving

Images