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Fuzzy control optimized by a Multi-Objective Differential Evolution algorithm for vibration suppression of smart structures

机译:通过多目标差分进化算法优化的模糊控制,用于智能结构的振动抑制

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摘要

Smart structures include elements of active, passive or hybrid control. The fuzzy control is considered which is a suitable tool for the systematic development of active control strategies. A new Multi-Objective Differential Evolution algorithm for the calculation of the free parameters in active control systems is proposed and tested. In particular, the usage of MODE with a combination of continuous and discrete variables for the optimal design of the controller is proposed. Numerical applications on smart piezoelastic beams are presented. The results obtained are compared with the ones obtained with the fuzzy controller optimized by a MOPSO algorithm.
机译:智能结构包括主动,被动或混合控制的元素。认为模糊控制是系统开发主动控制策略的合适工具。提出并测试了一种新的多目标差分进化算法,用于计算主动控制系统中的自由参数。特别是,提出了结合连续变量和离散变量的MODE的使用,以实现控制器的最佳设计。介绍了智能压电弹性梁的数值应用。将获得的结果与通过MOPSO算法优化的模糊控制器获得的结果进行比较。

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