journal article·2021-01

Waveform optimization of a two-axis smooth impact drive mechanism actuator

Jianxiang Wang, Yuxi Chen, Yuxin Peng, Xian Song, Yangkun Zhang, Mingming Zhang

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Abstract

This paper presents a data-driven method for waveform optimization of a two-axis smooth impact drive mechanism (SIDM) actuator. The actuator was constructed by two piezoelectric elements (PZTs) perpendicularly fixed to an L-shaped base for two-axis positioning. An XY stage was designed and constructed by assembling the two-axis SIDM actuator. The XY stage could position long motion ranges of several millimeters with nanometer-level resolution, and the size was confined to be 20 mm (X) × 20 mm (Y) × 4.5 mm (H). The data-driven method based on the long short-term memory (LSTM) neural networks was used to predict the optimum input voltage waveform of the actuator. With the optimized input voltage waveform, it was verified that the maximum velocity of the stage could be improved about two times.
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Research context

OpenAlex topics: Iterative Learning Control Systems · Piezoelectric Actuators and Control · Advanced Measurement and Metrology Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Sports Science, Zhejiang University, Hangzhou, China

College of Literature & Journalism, Hunan University of Technology, Zhuzhou, China

NUS Suzhou Research Institute (NUSRI), Suzhou, Industrial Park, Suzhou, China

Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China

Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China

Funding

the “Double First-Class“ Construction Fund of Zhejiang University · Natural Science Foundation of Zhejiang Province · ministry of education · the Jiangsu Province Natural Science Foundation of China · Zhejiang Province Qian Jiang Talent Program of 2018 · fundamental research funds for the central universities

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