| Vibration control technology can effectively reduce the dynamic response and damage of the structure and improve the anti vibration performance of the structure.It is a positive method for structural anti vibration,vibration reduction and disaster prevention and reduction.At present,the mainstream HMD control system has the disadvantages of excessive control force output and mass block stroke under the action of strong wind.The HMD control system needs to be further explored to achieve no reduction in control effect and solve the problems of excessive control force output of HMD control system and excessive stroke of mass block.Based on the HMD control system driven by linear motor,this paper improves the structure of the system,and replaces the fixed damping unit with variable damping unit to form VD-HMD control system.Secondly,the proposed VD-HMD control system is simulated and tested to demonstrate the effectiveness of the control system.Finally,a sliding mode control algorithm based on fuzzy power approach rate of acceleration is proposed,and the control effect and robustness of different algorithms are discussed.The main research contents and results are as follows:(1)Based on HMD control system driven by linear motor,VD-HMD control system is proposed.According to the VD-HMD control system,the dynamic equation and state equation are established,and the damping mechanism of VD-HMD control system is discussed.The results show that the AMD device in VD-HMD control system can provide additional stiffness and damping of the structure,change the instantaneous frequency of the structure and avoid structural resonance;At the same time,the variable damping element in the system can realize the energy consumption of the structure.(2)Taking Guangzhou tower as an example,the ANSYS model is simplified into a matlab model with rigid particles in series.According to the simplified model,the fluctuating wind speed generation of AR method and the establishment of VD-HMD control system are carried out.Secondly,the simulation of reduced order system is carried out,and the effectiveness of VD-HMD control system is compared and analyzed.The results show that VD-HMD control system not only improves the control effect compared with HMD control system,but also reduces the stroke and control force of mass block;In particular,the control force output of AMD device is not saturated under ten-year wind load,which meets the continuity of control.(3)The calculated variable control force and variable damping unit speed are clustered and fitted,so as to design the parameters of the passive variable damping device.Then the designed passive variable damping device is used as the variable damping unit of VD-HMD to form the passive VD-HMD control system,which is simulated and analyzed.The results show that the control effect of passive VD-HMD control system is better than HMD control system,but it is lower than VD-HMD;The mass stroke of the control system is the best,and its maximum control force does not reach the limit under ten-year wind load.(4)The hybrid test of passive VD-HMD control system is carried out.Firstly,the substructure of the test is divided and the similar proportion is designed,and the overall structure model and substructure model are simulated,analyzed and compared with Matlab /Simulink to verify the correctness of substructure division and coupling.Secondly,taking the linear motor as the test substructure,the scale model is established for the hybrid test.Finally,comparing the test results with the simulation results,it is found that the response of the test structure is slightly different from the simulation,but it can better reflect the actual control situation of the system.(5)A sliding mode control algorithm based on fuzzy power approach rate of acceleration is designed,and the passive VD-HMD control system is simulated and analyzed.Then,by comparing the response and dynamic performance of passive VD-HMD control system under H2 / LQG algorithm,it is concluded that the control effect of fuzzy SMC control algorithm is better;Moreover,when the parameters of the control device change,structural parameter disturbance or sensor failure,the robustness of the fuzzy SMC control system is higher. |