A 3-DOF piezoelectric driven nanopositioner: Design, control and experiment

Li, Peng-Zhi; Zhang, De-Fu; Lennox, Barry; Arvin, Farshad

Abstract

In this paper, a novel 3-degree-of-freedom (DOF) nanopositioner was investigated in order to position objects with nanometer scale accuracy. Nanopositioners are used in a variety of real-world applications, e.g. biomedical technology and nanoassembly. In this work, a nanopositioner was firstly designed with the flexure diaphragm guider, capacitive sensors and walking piezoelectric actuators. The specifically designed monolithic flexure diaphragm guider was able to significantly restrict motions in the other unwanted directions. The walking piezoelectric actuator can enable the developed nanopositioner to have nanometer scale positioning accuracy and a large travel range. Then a closed-loop sliding mode control strategy was developed to overcome the effect of the actuator’s speed nonlinearity and its stability was analysed based on Lyapunov theory. Finally, experiments focused on coupling displacement and point-to-point movement were conducted. The observed results revealed that the ratio of coupling displacement to Z displacement was less than 0.1%, which means that the coupling displacement was less than 120 nm during the Z direction travel range of the nanopositioner from −80 μm to 80 μm. Moreover, the positioning accuracy in the Z direction of point-to-point movement was within 10 nm and the dynamic response settled within 0.2 s. Therefore, the experimental results showed that the novel piezoelectric driven nanopositioner has excellent performance in terms of coupling displacement and nanometer scale accuracy for point-to-point movement.

Citation

Li, P.-Z., Zhang, D.-F., Lennox, B., & Arvin, F. (2021). A 3-DOF piezoelectric driven nanopositioner: Design, control and experiment. Mechanical Systems and Signal Processing, 155, Article 107603. https://doi.org/10.1016/j.ymssp.2020.107603

• Journal Article Type: Article
• Acceptance Date: Dec 29, 2020
• Online Publication Date: Jan 22, 2021
• Publication Date: Jun 16, 2021
• Deposit Date: May 27, 2022
• Journal: Mechanical Systems and Signal Processing
• Print ISSN: 0888-3270
• Publisher: Elsevier
• Volume: 155
• Article Number: 107603
• DOI: https://doi.org/10.1016/j.ymssp.2020.107603
• Public URL: https://durham-repository.worktribe.com/output/1203990