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A robust optimum controller for suppressing radiated sound from an intelligent cylinder based on sliding mode method considering piezoelectric uncertainties

机译:基于压电不确定性的滑模法抑制智能气缸辐射声的鲁棒最优控制器

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摘要

In this study, a robust controller against the uncertainties in piezoelectric patches including sensor and actuator is designed based on sliding mode method to control the radiated sound from cylindrical shells. Accordingly, in order to extract and discretize the dynamic equations of a smart cylinder equipped with piezoelectric patches, the Hamilton's principle and the Rayleigh-Ritz method are, respectively, used . The radiated sound is estimated by the Kirchhoff-Helmholtz integral and the acoustic structural sensing method. Furthermore, an innovative approach is proposed on sliding mode control to model system uncertainties and design robust control signals against these disturbances. Using effective control signals for each mode is the applied methodology for establishing independent sliding surfaces. In fact, it is attempted to relate between actuator matrix determinant and system control ability in generating the efficient control signals and error reduction due to actuators uncertainties. By the aid of this relation, optimization of the actuators position according to the genetic algorithm is implemented. The obtained results show that by optimizing the actuators position not only the appropriate performance of the system in controlling the radiated sound from the structure is enhanced but also the essential control voltage for each actuator is significantly decreased.
机译:在这项研究中,基于滑模方法设计了一种鲁棒的控制器来克服压电片中包括传感器和致动器的不确定性,以控制圆柱壳的辐射声。因此,为了提取和离散化配备压电贴片的智能圆柱体的动力学方程,分别使用了汉密尔顿原理和瑞利-里兹方法。辐射的声音通过基尔霍夫-亥姆霍兹积分和声学结构传感方法估算。此外,提出了一种创新的滑模控制方法,以对系统不确定性进行建模并针对这些干扰设计鲁棒的控制信号。为每种模式使用有效的控制信号是建立独立滑动表面的应用方法。实际上,试图在致动器矩阵决定因素与系统控制能力之间产生有效的控制信号以及由于致动器不确定性而导致的误差减小之间建立联系。借助于这种关系,实现了根据遗传算法对致动器位置的优化。所获得的结果表明,通过优化致动器位置,不仅增强了系统控制结构发出的声音的适当性能,而且显着降低了每个致动器的基本控制电压。

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