基于模糊控制的建筑结构振动分散控制理论与计算方法
[Abstract]:Traditional structural vibration control algorithms usually require precise mathematical model parameters. Civil engineering structures include structural members and non-structural members, so it is difficult to obtain the real parameters of the model when modeling. The stiffness and mass of the structure vibration process will also affect the settlement results. Therefore, the research on simple fuzzy control is a hot issue in the development of structural vibration control. The centralized control mode used in the traditional structural control system is single point, and the failure of one controller will lead to the failure of the whole control system. Decentralized control is to divide the controlled structure into a series of subsystems, each subsystem using local information independent control, improve the stability of the control system. In this paper, a fuzzy control algorithm and a decentralized control strategy are introduced to control the structural vibration of a building model under earthquake, and the software MATLAB is used to program and calculate the structure vibration. The main contents are as follows: 1. The fuzzy logic control algorithm, the decentralized control strategy and the linear quadratic (LQR) overlapping decentralized control algorithm are analyzed theoretically. 2, aiming at the vibration semi-active control problem of tall building structure under earthquake excitation, the paper analyzes the theory of the fuzzy logic control algorithm, the decentralized control strategy and the linear quadratic (LQR) overlapping decentralized control algorithm. The fuzzy logic control theory is introduced to solve the complexity problem of the traditional control algorithm which needs accurate mechanical mathematical model. A fuzzy controller is designed for the 20-layer Benchmark model. The MR damper is driven between layers, and the control force characteristics of the MR damper can only output to prevent the structure from moving. The simulation results show that fuzzy control can effectively control the interstory displacement of high-rise building structure under earthquake. 3. Aiming at the problems of centralized control strategy of high-rise building structure under earthquake excitation, the fuzzy control can effectively control the displacement of high-rise building structure under earthquake. At the same time, by introducing the decentralized control strategy and fuzzy control theory, a fuzzy decentralized controller is designed for the 20-layer Benchmark model, and the actuator is driven directly. The simulation results show that fuzzy decentralized control can achieve a control effect close to that of LQR decentralized control. At the same time, the robustness of fuzzy decentralized control with structural stiffness change and the stability of sensor failure are verified. 4. Aiming at the vibration control problem of multi-story building under earthquake excitation, a 6-story shear frame model is studied. The fuzzy controller for vibration of multi-story building structure under earthquake action is designed by adopting two kinds of MR dampers with interlayer driving and direct driving respectively. The simulation results show that the displacement control effect of fuzzy control is good but the acceleration control effect is poor when the MR damper adopts the interlayer drive mode. The simulation results show that the control effect of displacement and acceleration is good when the MR damper adopts the direct driving mode supported on the earth. At the same time, the control effect of open loop, closed loop and open closed loop system is compared. The results show that: when the MR damper adopts the interlayer drive mode, the fuzzy control has a similar control effect to the LQR control in the displacement control, and the acceleration control effect is poor, and when the direct drive mode is used as the actuator, the fuzzy control has a similar control effect to the LQR control. The effect of fuzzy decentralized control and LQR decentralized control on displacement and acceleration is close. Fuzzy decentralized control does not depend on accurate mathematical model of mechanics and overcomes the problem that centralized control is prone to failure. At the same time it has good robustness and stability and has more practical significance.
【学位授予单位】:合肥工业大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TU311.3
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