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Parameters optimization of vibration isolation and mitigation system for precision platforms using non-dominated sorting genetic algorithm

机译:使用非主导分类遗传算法的精密平台振动隔离和缓解系统参数优化

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摘要

In this work parameters are optimized for a proposed precision platform with a well-designed vibration isolation and mitigation (VIM) system, in which VIM devices, magnetorheological (MR) dampers and viscoelastic (VE) dampers are adopted to mitigate vibration responses. The optimization method is on the basis of the Non-dominated sorting genetic algorithm (NSGA-II), in which the dynamic responses as well as the maximum damping forces of MR dampers of the platform are chosen as objective functions. The optimization parameters, the constrain conditions and the objective functions are determined in accordance with the characteristics of the VIM system. Finally, a series of Pareto solutions are obtained and one Pareto solution is selected to compare with a preliminarily well designed VIM system. Numerical results show that the optimization method can effectively mitigate the vibration of the precision platform and reduce the maximum control forces of MR dampers simultaneously, which will lead to the miniaturization of MR dampers. (C) 2019 Elsevier Ltd. All rights reserved.
机译:在该工作中,针对具有精心设计的振动隔离和缓解(Vim)系统的提出的精密平台进行了优化,其中采用Vim器件,磁流变(MR)阻尼器和粘弹性(VE)阻尼器来减轻振动响应。优化方法是基于非主导的分类遗传算法(NSGA-II),其中选择动态响应以及平台MR阻尼器的最大阻尼力作为目标函数。根据Vim系统的特性确定优化参数,约束条件和目标函数。最后,获得了一系列帕累托溶液,选择了一种帕累托溶液以比较初步良好设计的Vim系统。数值结果表明,优化方法可以有效地减轻精密平台的振动,并同时降低MR阻尼器的最大控制力,这将导致MR阻尼器的小型化。 (c)2019 Elsevier Ltd.保留所有权利。

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