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Tuning dynamic vibration absorbers by using ant colony optimization

机译:通过蚁群优化来调整动态吸振器

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摘要

The present contribution deals with the optimal tuning of two different types of dynamic vibration absorbers (DVA) by using ant colony optimization, namely the vibrating blade DVA and the multi-mode DVA. Dynamic vibration absorbers are mechanical appendages constituted by mass, spring and damping elements, which are coupled to a mechanical system to provide vibration attenuation. The tuning of the dynamic vibration absorber is the procedure that sets the anti-resonance frequency to a given value by adjusting the parameters of the dynamic vibration absorber. Based on this methodology, the optimization problem is defined as the minimization of the objective function that describes the vibration amplitude of the primary structure. To solve the optimization problem, ant colony optimization was used. In the early nineties, when the Ant Colony algorithm was first proposed, it was used as an alternative approach for the solution of combinatorial optimization problems, such as the traveling salesman problem. However, the extension for operating with continuous variables is recent and this feature is still under development. In the present formulation, the optimization technique was extended to handle continuous design variables. Numerical results are reported, aiming at illustrating the success of using the proposed methodology, as applied to mechanical system design.
机译:本贡献致力于通过使用蚁群优化,即振动叶片DVA和多模式DVA,优化两种不同类型的动态吸振器(DVA)的优化。动态吸振器是由质量,弹簧和阻尼元件组成的机械附件,它们耦合到机械系统以提供振动衰减。动态吸振器的调谐是通过调节动态吸振器的参数将反谐振频率设置为给定值的过程。基于此方法,优化问题定义为描述基本结构振动幅度的目标函数的最小化。为了解决优化问题,使用了蚁群优化。九十年代初,当首次提出蚁群算法时,它被用作解决组合优化问题(例如旅行商问题)的替代方法。但是,使用连续变量进行操作的扩展是最近的,并且此功能仍在开发中。在本公式中,优化技术已扩展为处理连续的设计变量。报告了数值结果,旨在说明将所提出的方法应用于机械系统设计的成功。

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