An Inverted Differential Mechanism Capable of Achieving Very Large Amplification Ratio: Design and Control

IF 6.4 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Automation Science and Engineering Pub Date : 2024-10-29 DOI:10.1109/TASE.2024.3464688
Houqi Wu;Guimin Chen
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Abstract

A multitude of flexure-based displacement amplifiers have been developed to amplify piezoelectric actuators for achieving both high-precision motion and large output stroke. Single-stage amplifiers are compact but provide only amplification of several times, while multi-stage amplifiers are able to achieve amplification of dozens of times but are generally bulky in structure. In this work, a displacement amplifier with only a single stage displacement amplifier, which shows the capability of obtaining a very large amplification ratio, is proposed. The displacement amplifier contains two semi-bridge mechanisms with a slight geometric difference between them. This slight difference makes the amplifier require a very small input while achieving a large displacement at the output, leading to a very large amplification ratio. A kinetostatic model considering the nonlinearities in the deflections of both the flexure hinges and the links for the amplifier is developed, based on which the parameters of the amplifier are optimized to maximize the amplification ratio, resulting in an amplifier exhibiting an amplification ratio of 107. The optimization results were validated by those of a finite element model, proving the effectiveness and correctness of the proposed amplifier and the kinetostatic model. The finalized design was prototyped and the measured amplification ratios in a bilateral output mode and a unilateral output mode are 98.10 and 88.42, respectively. A neural network PID controller was designed for the displacement amplifier, with a maximum trajectory tracking error less than 4.7% of the displacement amplifier was achieved. Note to Practitioners—This paper was motivated by the need to extend the actuation stroke of piezoelectric actuators, which are crucial in automation systems requiring high-precision displacement and large motion range. Traditional single-stage amplifiers are compact but provide limited extension. Multi-stage amplifiers offer greater extension, but their bulkiness limits the practical use. We have developed an innovative single-stage amplifier with very large amplification ratio that incorporates a unique arrangement of semi-bridge mechanisms. This design significantly extend the actuation stroke of piezoelectric actuators with a compact structure. The integration of a neural network-based PID controller improves the accuracy and efficiency of the positioning control of the amplifiers system. The principles and design approach we used could also be applied to fields where high precision and large displacement are needed, for example, micro/nano manufacturing and aerospace applications. This could open up new avenues for enhancing the efficiency and capability of devices in these sectors.
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可实现超大放大比的反向差分机制:设计与控制
为了实现高精度运动和大输出行程,已经开发了多种基于柔性位移放大器的压电驱动器。单级放大器结构紧凑,但只能提供几倍的放大,而多级放大器可以实现几十倍的放大,但通常结构笨重。本文提出了一种单级位移放大器,可以获得非常大的放大比。位移放大器包含两个半桥机构,它们之间的几何差异很小。这个微小的差异使得放大器需要一个非常小的输入,而在输出处实现一个大的位移,导致一个非常大的放大比。建立了考虑柔性铰链和连杆挠度非线性的动静力学模型,在此基础上对放大器参数进行优化,使放大比达到最大,使放大器的放大比达到107。通过有限元模型对优化结果进行验证,验证了所提放大器和动静力模型的有效性和正确性。对最终设计进行了原型设计,在双输出模式和单边输出模式下测量的放大比分别为98.10和88.42。为位移放大器设计了神经网络PID控制器,最大轨迹跟踪误差小于位移放大器的4.7%。从业者注意:本文的动机是需要延长压电致动器的致动行程,这在需要高精度位移和大运动范围的自动化系统中至关重要。传统的单级放大器结构紧凑,但扩展能力有限。多级放大器提供了更大的扩展,但它们的体积限制了实际使用。我们开发了一种创新的单级放大器,具有非常大的放大比,结合了独特的半桥机制安排。该设计大大延长了压电驱动器的驱动行程,且结构紧凑。集成了基于神经网络的PID控制器,提高了放大器系统定位控制的精度和效率。我们使用的原理和设计方法也可以应用于需要高精度和大位移的领域,例如微/纳米制造和航空航天应用。这可能为提高这些部门设备的效率和能力开辟新的途径。
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来源期刊
IEEE Transactions on Automation Science and Engineering
IEEE Transactions on Automation Science and Engineering 工程技术-自动化与控制系统
CiteScore
12.50
自引率
14.30%
发文量
404
审稿时长
3.0 months
期刊介绍: The IEEE Transactions on Automation Science and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. T-ASE welcomes results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, security, service, supply chains, and transportation. T-ASE addresses a research community willing to integrate knowledge across disciplines and industries. For this purpose, each paper includes a Note to Practitioners that summarizes how its results can be applied or how they might be extended to apply in practice.
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