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Robust design optimization with an uncertain model of a nonlinear vibro-impact electro-mechanical system

机译:非线性振动冲击机电系统不确定模型的鲁棒设计优化

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In this paper, the robust design with an uncertain model of a vibro-impact electro-mechanical system is done. The electro-mechanical system is composed of a cart, whose motion is excited by a DC motor (motor with continuous current), and an embarked hammer into this cart. The hammer is connected to the cart by a nonlinear spring component and by a linear damper, so that a relative motion exists between them. A linear flexible barrier, placed outside of the cart, constrains the hammer movements. Due to the relative movement between the hammer and the barrier, impacts can occur between these two elements. The developed model of the system takes into account the influence of the DC motor in the dynamic behavior of the system. Some system parameters are uncertain, such as the stiffness and the damping coefficients of the flexible barrier. The objective of the paper is to perform an optimization of this electro-mechanical system with respect to design parameters (spring component, and barrier g) in order to maximize the impact power under the constraint that the electric power consumed by the DC motor is lower than a maximum value. This optimization is formulated in the framework of robust design due to the presence of uncertainties in the model. The set of nonlinear equations are presented, and an adapted time domain solver is developed. The stochastic nonlinear constrained design optimization problem is solved for different levels of uncertainties, and also for the deterministic case. (C) 2014 Elsevier B.V. All rights reserved.
机译:在本文中,完成了具有振动冲击机电系统不确定模型的鲁棒设计。机电系统由一个推车组成,该推车的运动由直流电动机(具有连续电流的电动机)激励,并且装有锤子。锤子通过非线性弹簧部件和线性阻尼器连接到手推车,因此它们之间存在相对运动。放置在手推车外部的线性柔性挡板限制了锤子的运动。由于锤子和挡板之间的相对运动,这两个元件之间可能发生碰撞。系统的开发模型考虑了直流电动机对系统动态行为的影响。一些系统参数是不确定的,例如柔性屏障的刚度和阻尼系数。本文的目的是针对设计参数(弹簧分量和势垒g)对这种机电系统进行优化,以便在直流电动机消耗的电力较低的约束下最大化冲击功率。比最大值。由于模型中存在不确定性,因此在稳健设计的框架内制定了此优化方案。提出了非线性方程组,并开发了一种自适应的时域求解器。针对不同程度的不确定性以及确定性情况,解决了随机非线性约束设计优化问题。 (C)2014 Elsevier B.V.保留所有权利。

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