共查询到17条相似文献，搜索用时 177 毫秒
1.
磁流变智能基础隔震系统研究 总被引：5，自引：3，他引：2
本文将磁流变(MR)阻尼器与普通橡胶隔震支座相结合,组成智能基础隔震系统应用到结构控制中。在详细介绍了系统的各部分与整体运行情况后,采用LQR经典线性最优控制算法对结构进行了振动台试验研究。试验结果表明,由MR阻尼器提供可调阻尼力的智能隔震控制系统,能有效克服被动隔震最优控制频带窄的缺点,对较宽频域范围地震激励能进行有效的振动控制。其相对一般被动隔震装置,能同时减小上部结构加速度和隔震层位移. 相似文献
2.
基于瞬时最优算法的磁流变阻尼隔震结构半主动控制 总被引：1，自引：0，他引：1
采用瞬时最优控制算法，对附加了磁流变阻尼器的多自由度隔震结构进行了半主动控制的数值模拟。首先，将被动隔震装置——叠层钢板橡胶垫与磁流变阻尼器相结合，形成磁流变智能隔震系统。其次，根据瞬时最优控制算法的基本原理，针对磁流变阻尼器的特点，建立与之相适应的半主动控制算法。最后，以六层隔震结构为例，进行数值分析。比较了被动与半主动控制的结构反应，并得到较好的控制效果。 相似文献
3.
可调滞回模型的磁流变阻尼器及其试验 总被引：5，自引：0，他引：5
本文在现在磁流变阴尼器性能研究的基础上，提出了可调滞回模型的磁流变阻尼器及其试验方法，并进行理论、试验及算例分析。首先，根据恒定电流下磁流变阻尼器的阻尼力滞力特性，利用磁流变材料特性的电流（即磁场）可控特点，建立了变电流下的阻尼力滞回模型；其次，在中通过电路板控制外加电流与装置变形间的函数关系，实现了变电流调节的阻尼力滞回模型；最后，将磁流变阻尼器与橡胶隔震装置结合，形成智能磁流变隔夺装置，并对一个单自由度隔震结构进行了数值仿真分析。 相似文献
4.
磁流变阻尼器的构造设计及其阻尼力性能的试验研究 总被引：21，自引：2，他引：21
本文根据磁流变液的材料特点和磁路设计原则，设计并制作了一个双出 杆的剪切阀式磁流阻尼器，在伺服试验机上对所设计制作的磁流变阻尼器的阻尼力性能进行了试验研究，并分析了影响阻尼力的各种因素。结果表明：所设计制作的磁流变阻尼器具有一定的剩磁，但剩磁对阻尼力可调系数的影响很小；所设计制作的磁流变阻尼器能够达到的最大阻尼力和阻尼力可调系数都很理想。由此得出结论，本文所设计制作的磁流变阻尼器具有卓越的阻尼性能，可在土木工程结构的半主动振动控制设计中加以推广和应用。 相似文献
5.
相邻结构地震反应MR阻尼器控制的仿真分析 总被引：2，自引：0，他引：2
本文仿真分析了应用磁流变(MR)阻尼器对相邻结构地震反应的控制效果,为进一步开展模型试验研究奠定了基础。建立了地震激励下相邻结构MR阻尼器控制系统的运动方程,提出了描述MR阻尼器阻尼力滞回特性的改进S igmoid模型,分别对应用开关控制、半主动控制以及最小或最大电流被动控制的四种控制方法的相邻结构地震反应的控制效果进行了仿真分析。结果表明,在相邻结构间连接安装MR阻尼器可以有效地控制相邻结构的地震反应,且开关控制方法和半主动控制方法的控制效果均好于两种被动控制方法,体现了MR阻尼器阻尼力可调的优点;在四种控制方法中,半主动控制方法的控制效果最好,体现了MR阻尼器阻尼力具有连续调节能力的优点;若能解决MR阻尼器的剩磁问题,半主动控制方法的控制效果会得到进一步的提高。 相似文献
6.
磁流变变阻尼半主动控制结构的仿真分析 总被引：6，自引：2，他引：6
由于高阶单步法已成功地应用于结构非线性分析及考虑时滞的主动控制等，显示了它的稳定、精度高和计算迅速等特点。用于结构振动控制的磁流变阻尼器属于速度相关型变阻尼半主动控制器，已有的一些算法，或因计算时间过长不能用于实际控制，或因需要事先经过学习训练，控制效果取决于训练学习的情况。因此，本文将高阶单步法应用于磁流变变阻尼半主动控制系统，采用开关控制和连续控制两种控制率对磁流变液的剪切强度进行调节。仿真计算表明，该控制算法是一种能用于结构实际控制的变阻尼有效算法. 相似文献
7.
本文采用商用标准件叠层压电驱动器和圆形摩擦盘,研发了能提供水平任一方向可调摩擦阻尼力的新型压电变摩擦阻尼器,能与圆形隔震垫协同工作复合而成智能隔震系统.文中首先提出了新型压电阻尼器的基本结构,制作了试验室比例的模型;其次针对压电驱动器变形在微米数量级的特点和约束钢架的刚度特性,提出了基于有限元分析的形状系数和可调正压力计算方法.并用约束钢架变形试验验证了有限元分析的正确性;最后通过阻尼器性能试验提出了连续型的阻尼力计算模型,一种适合于实际工程应用的摩擦阻尼力模型.提出的新型压电摩擦阻尼器构造简单,阻尼力调节方便,响应速度快,特别是便于进一步增大阻尼力调节倍数,能够较大地推动压电阻尼器实用化进程. 相似文献
8.
磁流变液是一种性能优良的智能材料,用其制成的MR阻尼器是一种理想的半主动控制装置。本文提出了一种新型MR阻尼器——逆变型MR阻尼器,给出了逆变型MR阻尼器的设计方法,并设计了一个足尺的阀式逆变型MR阻尼器。实验证明逆变型MR阻尼器阻尼力可调,在电源失效或无电源时能够在大阻尼状态工作,这提高了半主动控制装置在地震中的使用安全性。逆变型MR阻尼器具有良好的可靠性、实用性和经济性。本文最后针对试验中阻尼器出力的可调范围比较小的问题给出了几种改进的思路。 相似文献
9.
本文采用半主动控制方法对非对称结构在地震作用下的平动-扭转耦合振动控制进行了研究。首先建立了非对称结构的平动-扭转耦合振动方程和状态空间方程;然后以磁流变(MR)阻尼器为控制装置,结合线性二次型最优控制、最优控制算法和限幅控制策略,提出了基于MR阻尼器的半主动控制方法;最后对半主动控制方法对非对称结构地震反应的控制效果进行了计算分析。结果表明,半主动控制方法可以对非对称结构的水平位移、扭转位移和加速度反应都产生明显的控制效果,适当下调控制力需求时,不会导致控制效果的等比下降,降低MR阻尼器可调控制力上限后,可以减小阻尼器尺寸,便于其在工程实际中的应用。 相似文献
10.
为改善近断层地震动作用下隔震桥梁结构的抗震性能,基于Benchmark结构振动控制问题,研究附加黏滞阻尼器、磁流变(MR)阻尼器的组合隔震策略.非线性动力分析过程中,优化了黏滞阻尼器的阻尼系数和速度指数,并设计了分散模糊控制器来确定施加给磁流变阻尼器的电压.研究结果表明:采用黏滞阻尼器和磁流变阻尼器可提高隔震桥梁结构在... 相似文献
11.
Real‐time hybrid testing is a very effective technique for evaluating the dynamic responses of rate‐dependent structural systems subjected to earthquake excitation. A smart base isolation system has been proposed by others using conventional low‐damping isolators and controllable damping devices such as magnetorheological (MR) dampers to achieve specified control target performance. In this paper, real‐time hybrid tests of a smart base isolation system are conducted. The simulation is for a base‐isolated two‐degrees‐of‐freedom building model where the superstructure and the low‐damping base isolator are numerically simulated, and the MR damper is physically tested. The target displacement obtained from the step‐by‐step integration of the numerical substructure is imposed on the MR damper, which is driven by three different control algorithms in real‐time. To compensate the actuator delay and improve the accuracy of the test, an adaptive phase‐lead compensator is implemented. The accuracy of each test is investigated by using the root mean square error and the tracking indicator. Experimental results demonstrate that the hybrid testing procedure using the proposed actuator compensation techniques is effective for investigating the control performance of the MR damper in a smart base isolation system. Copyright © 2013 John Wiley & Sons, Ltd. 相似文献
12.
针对巨-子结构隔震体系,在隔震层处或子结构顶部与主结构连接处,施加SMA-压电智能复合阻尼器,从而形成巨-子结构智能隔震体系。本文通过限界Hrovat最优控制算法设计了巨-子结构智能隔震体系的半主动控制器,在此基础上,对巨-子结构智能隔震体系进行了Simulink控制效果仿真分析,同时比较了控制装置安装位置的不同对结构控制效果的影响,并与普通隔震结构的减震效果进行了对比。研究结果表明,智能隔震控制1（隔震层加控制装置）和智能隔震控制2（子结构顶部加控制装置）2种控制方案在控制结构的位移方面效果相差不大。总体而言,智能隔震控制2对于控制子结构单元顶部的绝对加速度效果更为显著,但是相对于普通隔震而言,特别是在控制隔震层位移方面2种方案都具有较好的控制效果。实施智能控制可以有效改善巨-子结构被动控制体系的抗震性能,并能降低隔震结构在遭受强震时由于隔震层出现过大位移导致结构倾覆的危险。 相似文献
13.
Wind turbine technology is well known around the globe as an eco-friendly and effective renewable power source. However, this technology often faces reliability problems due to structural vibration. This study proposes a smart semi-active vibration control system using Magnetorheological (MR) dampers where feedback controllers are optimized with nature-inspired algorithms. Proportional integral derivative (PID) and Proportional integral (PI) controllers are designed to achieve the optimal desired force and current input for MR the damper. PID control parameters are optimized using an Ant colony optimization (ACO) algorithm. The effectiveness of the ACO algorithm is validated by comparing its performance with Ziegler-Nichols (Z-N) and particle swarm optimization (PSO). The placement of the MR damper on the tower is also investigated to ensure structural balance and optimal desired force from the MR damper. The simulation results show that the proposed semi-active PID-ACO control strategy can significantly reduce vibration on the wind turbine tower under different frequencies (i.e., 67%, 73%, 79% and 34.4% at 2 Hz, 3 Hz, 4.6 Hz and 6 Hz, respectively) and amplitudes (i.e. 50%, 58% and 67% for 50 N, 80 N, and 100 N, respectively). In this study, the simulation model is validated with an experimental study in terms of natural frequency, mode shape and uncontrolled response at the 1st mode. The proposed PID-ACO control strategy and optimal MR damper position is also implemented on a lab-scaled wind turbine tower model. The results show that the vibration reduction rate is 66% and 73% in the experimental and simulation study, respectively, at the 1st mode.
相似文献14.
15.
Sliding base‐isolation systems used in bridges reduce pier drifts, but at the expense of increased bearing displacements under near‐source pulse‐type earthquakes. It is common practice to incorporate supplemental passive non‐linear dampers into the isolation system to counter increased bearing displacements. Non‐linear passive dampers can certainly reduce bearing displacements, but only with increased isolation level forces and pier drifts. The semi‐active controllable non‐linear dampers, which can vary damping in real time, can reduce bearing displacements without further increase in forces and pier drifts; and hence deserve investigation. In this study performance of such a ‘smart’ sliding isolation system, used in a 1:20 scaled bridge model, employing semi‐active controllable magneto‐rheological (MR) dampers is investigated, analytically and experimentally, under several near‐fault earthquakes. A non‐linear analytical model, which incorporates the non‐linearities of sliding bearings and the MR damper, is developed. A Lyapunov control algorithm for control of the MR damper is developed and implemented in shake table tests. Analytical and shake table test results are compared. It is shown that the smart MR damper reduces bearing displacements further than the passive low‐ and high‐damping cases, while maintaining isolation level forces less than the passive high‐damping case. Copyright © 2005 John Wiley & Sons, Ltd. 相似文献
16.
Vibration mitigation using smart, reliable and cost‐effective mechanisms that requires small activation power is the primary objective of this paper. A semi‐active controller‐based neural network for base‐isolation structure equipped with a magnetorheological (MR) damper is presented and evaluated. An inverse neural network model (INV‐MR) is constructed to replicate the inverse dynamics of the MR damper. Next, linear quadratic Gaussian (LQG) controller is designed to produce the optimal control force. Thereafter, the LQG controller and the INV‐MR models are linked to control the structure. The coupled LQG and INV‐MR system was used to train a semi‐active neuro‐controller, designated as SA‐NC, which produces the necessary control voltage that actuates the MR damper. To evaluate the proposed method, the SA‐NC is compared to passive lead–rubber bearing isolation systems (LRBs). Results revealed that the SA‐NC was quite effective in seismic response reduction for wide range of motions from moderate to severe seismic events compared to the passive systems. In addition, the semi‐active MR damper enjoys many desirable features, such as its inherent stability, practicality and small power requirements. The effectiveness of the SA‐NC is illustrated and verified using simulated response of a six‐degree‐of‐freedom model of a base‐isolated building excited by several historical earthquake records. Copyright © 2006 John Wiley & Sons, Ltd. 相似文献
17.
Semi‐active control of buildings and structures for earthquake hazard mitigation represents a relatively new research area. Two optimal displacement control strategies for semi‐active control of seismic response of frame structures using magnetorheological (MR) dampers or electrorheological (ER) dampers are proposed in this study. The efficacy of these displacement control strategies is compared with the optimal force control strategy. The stiffness of brace system supporting the smart damper is also taken into consideration. An extensive parameter study is carried out to find the optimal parameters of MR or ER fluids, by which the maximum reduction of seismic response may be achieved, and to assess the effects of earthquake intensity and brace stiffness on damper performance. The work on example buildings showed that the installation of the smart dampers with proper parameters and proper control strategy could significantly reduce seismic responses of structures, and the performance of the smart damper is better than that of the common brace or the passive devices. The optimal parameters of the damper and the proper control strategy could be identified through a parameter study. Copyright © 2000 John Wiley & Sons, Ltd. 相似文献