Real-Time Integration of Identification and Semiactive Optimization Control for Mass Damper-Building Combined Systems under Known/Unknown Seismic Excitations

Chang Yin, Jubin Lu, Chunyan Xiang, Ying Lei
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Abstract

The integration of structural identification and vibration optimal control has been studied. Since the semiactive optimization vibrational control of civil structures needs to be implemented by massive control devices such as mass dampers, it is necessary to investigate the real-time integration of identification and semiactive optimization vibration control for mass damper-building combined systems. However, there is a lack of such studies in the literature. In this paper, a methodology is presented for real-time integration of identification and semiactive optimization vibration control of the mass damper-building combined system under known/unknown seismic excitations. For the combined system under known seismic excitations, the identification is implemented by the extended Kalman filter (EKF) using only partial structural acceleration responses. The identified structural state and parameters of mass damper-building systems are integrated in real time for the optimal control of systems by the linear-quadratic regulator (LQR) control algorithm and the Hrovat semiactive optimization control strategy via semiactive optimization mass dampers (SAMD). Then, it is extended to the scenario of unknown seismic excitations. The partially measured structural acceleration responses are absolute ones in this case, so the generalized extended Kalman filter with unknown input (GEKF-UI) developed by the authors is used to identify the structural input-state parameters of the mass dampers-building combined systems. The identification results are also integrated in real time for the semiactive optimization control of the combined system via SAMD. Two numerical simulation examples are used to test the proposed integration methods. It is shown that the proposed integration methods can reach almost the same optimal control effects as the conventional semiactive optimization control with known parameters of the mass damper-building combined systems under known/unknown seismic excitations.
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已知/未知地震激励下质量阻尼器-建筑物组合系统的识别与半主动优化控制的实时集成
对结构识别与振动优化控制的集成进行了研究。由于民用结构的半主动优化振动控制需要通过质量阻尼器等大规模控制装置来实现,因此有必要研究质量阻尼器建筑组合系统的识别和半主动优化振动控制的实时集成。然而,文献中缺乏此类研究。本文提出了一种在已知/未知地震激励下对质量阻尼器-建筑物组合系统进行实时集成识别和半主动优化振动控制的方法。对于已知地震激励下的组合系统,仅使用部分结构加速度响应,通过扩展卡尔曼滤波器(EKF)实现识别。通过线性二次调节器(LQR)控制算法和半主动优化质量阻尼器(SAMD)的 Hrovat 半主动优化控制策略,实时整合已识别的质量阻尼器建筑系统的结构状态和参数,实现系统的最优控制。然后,将其扩展到未知地震激励情景。在这种情况下,部分测量到的结构加速度响应是绝对响应,因此作者开发的带有未知输入的广义扩展卡尔曼滤波器(GEKF-UI)被用来识别质量阻尼器-建筑物组合系统的结构输入状态参数。识别结果还通过 SAMD 实时集成到组合系统的半主动优化控制中。两个数值模拟实例用于测试所提出的集成方法。结果表明,在已知/未知地震激励条件下,所提出的集成方法可以达到与传统的已知参数质量阻尼器-建筑物组合系统半主动优化控制几乎相同的优化控制效果。
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