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首页> 外文期刊>Journal of Engineering Mechanics >Multiobjective optimal fuzzy logic controller driven active and hybrid control systems for seismically excited nonlinear buildings
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Multiobjective optimal fuzzy logic controller driven active and hybrid control systems for seismically excited nonlinear buildings

机译：多目标最优模糊逻辑控制器驱动的非线性地震主动与混合控制系统

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摘要

The third generation benchmark control problem for seismically excited nonlinear buildings is an effort to evaluate the developed control strategies in order to apply them in field applications. As the fuzzy logic control systems have been applied effectively in various fields, including vibration control of structures, a multiobjective optimal fuzzy logic control system has been proposed-in this paper. Two types of control devices, namely, active and hybrid, driven by a fuzzy logic controller (FLC) have been considered in the present study. Nondimensionalized peak interstory drift ratio and peak floor acceleration have been used as the two objective functions for the multiobjective optimal design problem. A two-branch tournament genetic algorithm has been used to find a set of Pareto-optimal solutions, as the optimization problem is not necessarily continuous of convex. Performance of the FLC driven active and hybrid control systems have been evaluated for all three third generation benchmark problems for seismically excited nonlinear buildings (3-, 9- and 20-story). Acceleration and velocity information of different floors have been used as feedback to the FLC. This approach provides a set of Pareto optimal designs, from which a controller design can be selected for the required performance. The FLC driven active control system performs better than the sample controller given in the benchmark problem. Though the number of sensors and control devices are far less, the performance of the hybrid is close to the active control system.
机译：地震激励的非线性建筑物的第三代基准控制问题是努力评估已开发的控制策略，以便将其应用于现场应用。由于模糊逻辑控制系统已经有效地应用于包括结构振动控制在内的各个领域，因此提出了一种多目标最优模糊逻辑控制系统。在本研究中已经考虑了由模糊逻辑控制器（FLC）驱动的两种类型的控制设备，即主动和混合动力。无量纲的峰值层间漂移率和峰值层加速度已被用作多目标最优设计问题的两个目标函数。由于优化问题不一定是凸的连续问题，因此使用了两分支锦标赛遗传算法来找到一组帕累托最优解。对于地震激励的非线性建筑物（3层，9层和20层）的所有第三代基准问题，已经评估了FLC驱动的主动和混合控制系统的性能。不同楼层的加速度和速度信息已用作FLC的反馈。这种方法提供了一组帕累托最优设计，可以从中选择控制器设计以获得所需的性能。 FLC驱动的主动控制系统的性能优于基准问题中给出的样本控制器。尽管传感器和控制设备的数量要少得多，但是混合动力车的性能却接近主动控制系统。

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