Dynamics Compensation and Rapid Resonance Identification in Ultrasonic-Vibration-Assisted Microforming System Using Magnetostrictive Actuator

Dynamics Compensation and Rapid Resonance Identification in Ultrasonic-Vibration-Assisted Microforming System Using Magnetostrictive Actuator
复制标题

使用磁致伸缩执行器的超声波振动辅助微成型系统中的动态补偿和快速共振识别

DOI:
10.1109/tmech.2011.2116032
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发表时间:
2011
期刊:
IEEE/ASME Transactions on Mechatronics
影响因子:
--
通讯作者:
G. Kim
G. Kim
中科院分区:
--
文献类型:
--
作者:
Zhihua Wang;Q. Zou;L. Faidley;G. Kim

文献摘要

被引文献

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本文针对超声-振动辅助微成形系统的硬件动力学效应,开发了一种机电一体化系统,实现了系统的快速共振识别。由于微型制造系统在新兴应用中的需求,微成形最近引起了人们的极大兴趣。研究表明,在微成形过程中引入超声振动可以获得显著的好处,如减少输入能量和延长刀具寿命,特别是当振动保持在振动工件的谐振频率时。然而,超声振动对微成形过程影响的基本机理尚不清楚;目前用于产生超声振动的电动执行器体积庞大,不适合微成形系统的小型化,对超声振动的控制也很原始,远非最优。为了解决这些挑战,开发了一种基于磁致伸缩执行器的微成形平台。本文的主要贡献有两个方面:一是利用一种新颖的迭代学习控制技术和振动振荡调节电路来补偿磁致伸缩作动器动力学对超声振动产生的影响,从而在较大的激励频率范围内保持相同的振动幅值;其次,利用斐波那契搜索算法实现谐振频率的快速在线识别。在基于磁致伸缩作动器的微成形系统上获得的实验结果证明了所提出方法的有效性。
In this paper, a mechatronic system is developed to compensate for the hardware dynamics effect, and to achieve rapid resonance identification for an ultrasonic-vibration-assisted microforming system. Microforming has recently attracted great interests due to the need for miniaturized manufacturing systems in emerging applications. It has been demonstrated that significant benefits, such as the reduction of input energy and the prolongation of tool life, can be gained by introducing ultrasonic vibration into the microforming process, particularly when the vibration is maintained at the resonant frequency of the vibrating workpiece. However, the fundamental mechanism of ultrasonic vibration effect on the microforming process has not yet been understood; the electrical actuators currently used to generate the ultrasonic vibration are bulky and not suitable for miniaturization of the microforming system, and control of the ultrasonic vibration is primitive and far from being optimal. To tackle these challenges, a microforming platform based on a magnetostrictive actuator has been developed. The main contributions of this paper are two-fold: first, the use of a novel iterative learning control technique along with a vibration oscillation regulation circuit to compensate for the effect of the magnetostrictive actuator dynamics on the ultrasonic vibration generation, and thereby, maintain the same vibration amplitude across a large excitation frequency range; and secondly, the use of the Fibonacci search algorithm to achieve rapid online identification of the resonant frequency. Experimental results obtained on the developed magnetostrictive-actuator-based microforming system are presented and discussed to demonstrate the efficacy of the proposed approach.