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Comprehensive predictive control for vibration suppression based on piecewise constant input formulation
Journal of Intelligent Material Systems and Structures ( IF 2.7 ) Pub Date : 2021-08-31 , DOI: 10.1177/1045389x211038703
Ikuya Takamoto 1 , Mizuki Abe 1 , Yushin Hara 1 , Keisuke Otsuka 1 , Kanjuro Makihara 1
Affiliation  

We propose a novel semi-active vibration suppression method based on model predictive control (MPC). Semi-active vibration suppression provides excellent damping performance, energy consumption, and stability during control. As the semi-active control input is often discontinuous, it may be difficult to predict. Hence, we combine semi-active vibration suppression and MPC to determine the control input trajectory arbitrarily. The proposed method, called predictive switching based on piecewise constant input (PSPCI), assumes that the piezoelectric charge remains constant when the control circuit is in the open state. Under this assumption, the future system state can be predicted for semi-active vibration suppression while reducing the computational load. The PSPCI method predicts the future work done by the transducer and effectively suppresses vibrations. Its effectiveness and robustness are demonstrated through simulations and experiments. The proposed PSPCI method enables the prediction of the semi-active control input and diversifies the control input determination for effective semi-active vibration suppression.



中文翻译:

基于分段常数输入公式的振动抑制综合预测控制

我们提出了一种基于模型预测控制(MPC)的新型半主动振动抑制方法。半主动振动抑制提供优异的阻尼性能、能耗和控制过程中的稳定性。由于半主动控制输入通常是不连续的,因此可能难以预测。因此,我们结合半主动振动抑制和 MPC 来任意确定控制输入轨迹。所提出的方法称为基于分段常数输入的预测切换 (PSPCI),它假定当控制电路处于开路状态时压电电荷保持恒定。在此假设下,可以预测未来系统状态以进行半主动振动抑制,同时减少计算负载。PSPCI 方法可预测换能器未来所做的工作并有效抑制振动。通过仿真和实验证明了其有效性和鲁棒性。所提出的 PSPCI 方法能够预测半主动控制输入,并使控制输入确定多样化,以实现有效的半主动振动抑制。

更新日期:2021-08-31
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