新型磁流变脂阻尼器对铁路连续梁桥地震响应模糊神经网络控制

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振动与冲击 ›› 2015, Vol. 34 ›› Issue (2) : 66-73.

论文

新型磁流变脂阻尼器对铁路连续梁桥地震响应模糊神经网络控制

马涌泉，邱洪兴

作者信息 +

Fuzzy neural network control to suppress seismic responses of railway continuous girder bridges using new magneto rheological grease damper

MA Yong-quan，QIU Hong-xing

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文章历史 +

摘要

为解决传统磁流变液阻尼器(Magneto Rheological Fluid Damper, MRFD)磁场利用率低及磁流变液沉降导致控制特性劣化难题，提出新型阻尼器—磁流变脂阻尼器(Magneto Rheological Grease Damper, MRGD)。采用神经网络(Neural Network, NN)对足尺MRGD动力特性进行辨识，通过将改进的限幅最优(Modified Clipped-Optimal, MCO)算法整合到模糊神经网络(Fuzzy Neral Network, FNN)理论设计适合MRGD的FNN/MCO半主动控制策略，并构建SIMULINK仿真分析平台。以典型三跨铁路连续梁桥为工程背景，分别对未控制、FNN/MCO半主动控制及线性二次型高斯(Linear Quadratic Gaussian, LQG)主动控制下桥梁各项评价指标进行分析。结果表明，所提FNN/MCO半主动控制策略对桥梁地震响应控制效果明显优于LQG主动控制策略；FNN/MCO策略较LQG策略更利于控制装置性能发挥；FNN/MCO策略稳定性、鲁棒性均明显优于LQG策略。

Abstract

To solve the existing problem in the low utilization rate of the magnetic field and the control characteristic would be degraded due to the sedimentation of magneto rheological fluid for the traditional magneto rheological fluid damper (MRFD), the magneto rheological grease damper (MRGD) as a new type of damper was proposed in this paper. The neural network (NN) was employed to identify the dynamic characteristics of the full-scale MRGD, the FNN/MCO semi-active control strategy for MRGD were designed by integrating the modified clipped-optimal (MCO) algorithm into the fuzzy neral network (FNN) theory, and the SIMULINK simulation analytical platform corresponding FNN/MCO strategy was constructed. Taking the typical three-span railway continuous girder bridge as engineering background, the various evaluation criteria of this bridge with non-control, FNN/MCO semi-active control and active control based on linear quadratic gaussian (LQG) strategy were analyzed, respectively. The analytical results show that the control effects on seismic responses of bridge with FNN/MCO semi-active control strategy proposed by this paper are obviously superior to those of LQG active control strategy. Comparing with LQG strategy, the FNN/MCO strategy can more obviously contributes to the performance exert for the control devices. The both stability and robustness of FNN/MCO strategy are superior to those of LQG control strategy.

导出引用

马涌泉;邱洪兴. 新型磁流变脂阻尼器对铁路连续梁桥地震响应模糊神经网络控制[J]. 振动与冲击, 2015, 34(2): 66-73

MA Yong-quan;QIU Hong-xing. Fuzzy neural network control to suppress seismic responses of railway continuous girder bridges using new magneto rheological grease damper[J]. Journal of Vibration and Shock, 2015, 34(2): 66-73