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首页> 外文期刊>Simulation modelling practice and theory: International journal of the Federation of European Simulation Societies >Self-learning active vibration control of a flexible plate structure with piezoelectric actuator
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Self-learning active vibration control of a flexible plate structure with piezoelectric actuator

机译：具有压电致动器的柔性板结构的自学习主动振动控制

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摘要

In this paper, an active vibration control (AVC) incorporating active piezoelectric actuator and self-learning control for a flexible plate structure is presented. The flexible plate system is first modelled and simulated via a finite difference (FD) method. Then, the validity of the obtained model is investigated by comparing the plate natural frequencies predicted by the model with the reported values obtained from literature. After validating the model, a proportional or P-type iterative learning (IL) algorithm combined with a feedback controller is applied to the plate dynamics via the FD simulation platform. The algorithms were then coded in MATLAB to evaluate the performance of the control system. An optimized value of the learning parameter and an appropriate stopping criterion for the IL algorithm were also proposed. Different types of disturbances were employed to excite the plate system at different excitation points and the controller ability to attenuate the vibration of observation point was investigated. The simulation results clearly demonstrate an effective vibration suppression capability that can be achieved using piezoelectric actuator with the incorporated self-learning feedback controller.
机译：在本文中，提出了一种结合了主动压电致动器和自学习控制的柔性板结构的主动振动控制（AVC）。首先通过有限差分（FD）方法对柔性板系统进行建模和仿真。然后，通过将模型预测的板固有频率与从文献中获得的报告值进行比较，来研究所获得模型的有效性。验证模型后，通过FD仿真平台将比例或P型迭代学习（IL）算法与反馈控制器相结合，应用于板动力学。然后在MATLAB中对算法进行编码，以评估控制系统的性能。还提出了学习参数的优化值和IL算法的适当停止准则。采用不同类型的扰动在不同的激励点激励板系统，研究了控制器减弱观测点振动的能力。仿真结果清楚地表明，使用带有内置自学习反馈控制器的压电致动器可以实现有效的减振能力。

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