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Integrated optimization of structural topology and control for piezoelectric smart plate based on genetic algorithm

机译:基于遗传算法的压电智能板结构拓扑与控制集成优化

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摘要

The integrated optimization of structural topology, number and positions of the actuators and control parameters of piezoelectric smart plates is investigated in this paper. Based on the optimal control effect in the independent mode control and singular value decomposition of the distributed matrix of total performance index for all physical control forces for piezoelectric smart plate, a new criterion, where several large values in singular values are selected, is put forward to determine the optimal number of the assigned actuators in the coupled modal space control. Furthermore, the optimal positions of actuators are ascertained by singular value decomposition of the modal distributing matrix. The integrated optimization model, including the optimized objective function, design variables and constraint functions, is built. The design variables include the logic design variables of structural topology, the number and positions of actuators as well as the control design parameters. Some optimal strategies based on genetic algorithm (GA), such as structural connection checking and structural checkerboard checking and repairing technique, are used to guide the optimization process efficiently. The results of two numerical examples show that the proposed approach can produce the optimal solution with clear structural topology and high control performance.
机译:本文研究了压电智能板的结构拓扑,执行机构的数量和位置以及控制参数的综合优化。基于独立模式控制中的最优控制效果以及压电智能板所有物理控制力的总性能指标分布矩阵的奇异值分解,提出了选择几个奇异值大值的新准则确定在耦合模态空间控制中分配的执行器的最佳数量。此外,通过模态分布矩阵的奇异值分解来确定致动器的最佳位置。建立了包括优化目标函数,设计变量和约束函数在内的集成优化模型。设计变量包括结构拓扑的逻辑设计变量,执行器的数量和位置以及控制设计参数。一些基于遗传算法(GA)的优化策略,如结构连接检查,结构棋盘检查和修复技术,被用来有效地指导优化过程。两个数值算例的结果表明,该方法可以产生结构拓扑清晰,控制性能高的最优解。

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