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A novel optimal configuration of sensor and actuator using a non-linear integer programming genetic algorithm for active vibration control

机译:使用非线性整数规划遗传算法的主动振动控制传感器和执行器的新型最佳配置

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摘要

Due to widespread applications of a large number of flexible structures, to obtain the best dynamic control performance of a system, optimal locations of the actuators and sensors are necessary to be determined. This article proposes a novel optimal criterion for the actuators or sensors ensuring good controllability or observability of a structure, and also considering the remaining modes to control the spillover effect. Based on the proposed optimization criteria, a non-linear integer programming genetic algorithm is employed to achieve the optimal configurations. Active vibration control is investigated for a cantilever plate with the actuators in optimal positions to suppress the specified modes utilizing linear quadratic regulator controller. Several simulation results validate the efficiency and feasibility of the proposed optimal criteria.
机译:由于大量柔性结构的广泛应用,为了获得系统的最佳动态控制性能,必须确定致动器和传感器的最佳位置。本文为致动器或传感器提出了一种新颖的最佳准则,以确保结构的良好可控制性或可观察性,并考虑了控制溢出效应的其余模式。基于提出的优化准则,采用非线性整数规划遗传算法来实现最优配置。对悬臂板的主动振动控制进行了研究,其中致动器处于最佳位置,以利用线性二次调节器控制器抑制指定模式。若干仿真结果验证了所提出最佳准则的有效性和可行性。

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