一种基于粘滑驱动原理的定位指向机构的分析与实验。

IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Frontiers in Neurorobotics Pub Date : 2025-05-15 eCollection Date: 2025-01-01 DOI:10.3389/fnbot.2025.1567291
Yongqi Zhu, Juan Li, Jianbin Huang, Weida Li, Gai Liu, Lining Sun
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引用次数: 0

摘要

传统的定位和指向机构在同时实现高速度和高分辨率时往往面临限制,其行程范围通常受到限制。为了克服这些挑战,我们在这项研究中提出了一种新的压电陶瓷驱动的定位和指向机构。该机构采用共振和粘滑两种驱动原理,能够实现高速和高分辨率。本文将重点分析粘滑传动原理。方法:提出了一种定位指向机构内驱动模块的结构。该机构通过对压电陶瓷施加低频锯齿波激励,实现了基于粘滑驱动原理的高分辨率驱动。首先,建立了驱动模块的简化动力学模型。将粘滑传动中驱动模块的运动过程分为粘滑阶段和滑移阶段。通过对各相位进行静态和瞬态动态分析,推导出输出轴角、分辨率和驱动电压之间的关系。结果表明,在粘滞阶段,输出轴角与驱动电压呈近似线性关系,而在滑移阶段,由于冲击力和振动的影响,输出轴角与驱动电压呈非线性关系。最后,设计了定位指向机构样机,搭建了实验平台,对样机的分辨率进行了测试。结果:构建了由多个驱动模块组成的双轴定位指向机构样机,并采用同步控制和独立控制两种控制方式进行了分辨率测试。采用同步控制时,输出轴的分辨率达到0.38μrad,采用独立控制时,输出轴的分辨率达到0.0276μrad。讨论:研究结果表明,本研究提出的定位指向机构通过粘滑驱动原理实现了高分辨率,为该类机构的发展提供了新的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis and experiment of a positioning and pointing mechanism based on the stick-slip driving principle.

Introduction: Traditional positioning and pointing mechanisms often face limitations in simultaneously achieving high speed and high resolution, and their travel range is typically constrained. To overcome these challenges, we propose a novel positioning and pointing mechanism driven by piezoelectric ceramics in this study. This mechanism is capable of achieving both high speed and high resolution by using two driving principles: resonance and stick-slip. This paper will focus on analyzing the stick-slip driving principle.

Methods: We propose a configuration of the drive module within the positioning and pointing mechanism. By applying a low-frequency sawtooth wave excitation to the piezoelectric ceramics, the mechanism achieves high resolution based on the stick-slip driving principle. First, a simplified dynamic model of the drive module is established. The motion process of the drive module in stick-slip driving is divided into the stick phase and slip phase. With static and transient dynamic analyses conducted for each phase, the relationship between the output shaft angle, resolution, and driving voltage is derived. It is observed that during the stick phase, the output shaft angle and the driving voltage exhibit an approximately linear relationship, while in the slip phase, the output shaft angle and the driving voltage display nonlinearity due to impact forces and vibrations. Finally, a prototype of the positioning and pointing mechanism is designed, and an experimental platform is constructed to test the resolution of the prototype.

Results: We construct a prototype of a dual-axis positioning and pointing mechanism composed of multiple drive modules and conduct resolution tests using two control methods: synchronous control and independent control. When synchronous control is used, the output shaft achieves a resolution of 0.38μrad, while with independent control, the resolution of the output shaft reaches 0.0276μrad.

Discussion: The research results show that the positioning and pointing mechanism proposed in this study achieves high resolution through stick-slip driving principle, offering a novel approach for the advancement of such mechanisms.

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来源期刊
Frontiers in Neurorobotics
Frontiers in Neurorobotics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCER-ROBOTICS
CiteScore
5.20
自引率
6.50%
发文量
250
审稿时长
14 weeks
期刊介绍: Frontiers in Neurorobotics publishes rigorously peer-reviewed research in the science and technology of embodied autonomous neural systems. Specialty Chief Editors Alois C. Knoll and Florian Röhrbein at the Technische Universität München are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide. Neural systems include brain-inspired algorithms (e.g. connectionist networks), computational models of biological neural networks (e.g. artificial spiking neural nets, large-scale simulations of neural microcircuits) and actual biological systems (e.g. in vivo and in vitro neural nets). The focus of the journal is the embodiment of such neural systems in artificial software and hardware devices, machines, robots or any other form of physical actuation. This also includes prosthetic devices, brain machine interfaces, wearable systems, micro-machines, furniture, home appliances, as well as systems for managing micro and macro infrastructures. Frontiers in Neurorobotics also aims to publish radically new tools and methods to study plasticity and development of autonomous self-learning systems that are capable of acquiring knowledge in an open-ended manner. Models complemented with experimental studies revealing self-organizing principles of embodied neural systems are welcome. Our journal also publishes on the micro and macro engineering and mechatronics of robotic devices driven by neural systems, as well as studies on the impact that such systems will have on our daily life.
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