Multiobjective Topology Optimization for a Piezo-Actuated Fast Tool Servo

IF 7.2 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Electronics Pub Date : 2024-10-30 DOI:10.1109/TIE.2024.3481883
Yuhan Niu;Zi-Hui Zhu;LiMin Zhu;Zhiwei Zhu
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Abstract

A novel piezo-actuated fast tool servo (FTS) is reported for the diamond turning of microstructured surfaces. The structure and its dimensions for its compliant mechanism are concurrently derived based on the velocity field level-set (VFLS) topology optimization. To address the evolution instability in simultaneously optimizing the static and dynamic performance for diamond turning, a two-stage robust optimization strategy is proposed. Performance of the achieved optimum compliant mechanism is verified through finite element simulations. The prototype exhibits a stroke of 50.17 $\boldsymbol{\mu}$m and a first-order resonant frequency of 2745 Hz, which are in good agreement with the theoretical design. A proportional-integral controller with a high-gain controller is designed for the FTS that is actively damped by an innerloop positive feedback controller. Using the optimized FTS, a typical sinusoidal microgrid surface was turned to have a surface roughness of Sa = 5.2 nm and a peak-to-valley form error of 0.26 $\boldsymbol{\mu}$m.
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压电驱动快速工具伺服系统的多目标拓扑优化
报道了一种用于微结构表面金刚石车削的新型压电驱动快速刀具伺服系统。基于速度场水平集(VFLS)拓扑优化,同时导出了柔性机构的结构和尺寸。针对金刚石车削动、静性能同步优化过程中的演化不稳定性问题,提出了一种两阶段鲁棒优化策略。通过有限元仿真验证了所获得的最优柔性机构的性能。样机的行程为50.17 $\boldsymbol{\mu}$m,一阶谐振频率为2745 Hz,与理论设计相符。针对由内环正反馈控制器主动阻尼的FTS,设计了一种高增益的比例积分控制器。利用优化后的FTS,典型正弦微电网表面粗糙度为Sa = 5.2 nm,峰谷误差为0.26 $\boldsymbol{\mu}$m。
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来源期刊
IEEE Transactions on Industrial Electronics
IEEE Transactions on Industrial Electronics 工程技术-工程:电子与电气
CiteScore
16.80
自引率
9.10%
发文量
1396
审稿时长
6.3 months
期刊介绍: Journal Name: IEEE Transactions on Industrial Electronics Publication Frequency: Monthly Scope: The scope of IEEE Transactions on Industrial Electronics encompasses the following areas: Applications of electronics, controls, and communications in industrial and manufacturing systems and processes. Power electronics and drive control techniques. System control and signal processing. Fault detection and diagnosis. Power systems. Instrumentation, measurement, and testing. Modeling and simulation. Motion control. Robotics. Sensors and actuators. Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems. Factory automation. Communication and computer networks.
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