Nonlinear and Adaptive Control of Smart Material-Actuated Systems with Application to Nanopositioning
智能材料驱动系统的非线性和自适应控制及其在纳米定位中的应用
基本信息
- 批准号:0824830
- 负责人:
- 金额:$ 21万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2008
- 资助国家:美国
- 起止时间:2008-08-15 至 2012-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The research objective of this award is to develop a novel multi-time-scale nonlinear and adaptive control framework for hysteretic systems, and thus to enable robust, precision, and high-bandwidth control of smart material-actuated systems. Smart materials, such as piezoelectric materials and shape memory alloys, exhibit strong coupling of complex hysteretic behavior with the nonlinear dynamics of structures and fluids that are driven by smart material actuators, especially at medium-to-high drive levels. The latter, together with the uncertainties in both hysteresis and dynamics, makes it challenging to precisely control smart material-actuated systems. In this research, a multi-time-scale averaging theory for hysteretic systems will be established. This will, for the first time, provide a framework for merging adaptive hysteresis compensation with a plethora of nonlinear and adaptive control methods for hysteresis-free systems through time-scale separation. In addition, a general, parallel paradigm for hysteresis inversion and adaptation will be developed based on reconfigurable computing hardware, to enable efficient implementation of the proposed theory. The developed theory and algorithms will be validated in the control of a piezoelectric actuator-driven nanopositioning system.The proposed project can positively impact a number of application areas of smart materials, such as micro- and nanotechnology, biomedical devices, robotics, and aerospace and automotive industries. The interdisciplinary project will offer valuable training experience for talented graduate and undergraduate students, especially those from underrepresented groups. It will also enrich existing and newly developed courses on smart materials and controls at Michigan State University, such as Smart Material Sensors and Actuators, and Adaptive Control. The PIs will also proactively seek opportunities to transfer the developed technology to the nanopositioning and scanning probe microscopy (SPM) industry.
该奖项的研究目标是为滞后系统开发一种新的多时间尺度非线性和自适应控制框架,从而实现智能材料驱动系统的鲁棒,精确和高带宽控制。智能材料,例如压电材料和形状记忆合金,表现出复杂的滞后行为与由智能材料致动器驱动的结构和流体的非线性动力学的强耦合,特别是在中高驱动水平下。后者,再加上滞后和动态的不确定性,使得精确控制智能材料驱动系统具有挑战性。本研究将建立滞回系统的多时间尺度平均理论。这将首次提供一个框架,通过时间尺度分离,将自适应滞后补偿与过多的非线性和自适应控制方法合并,用于无时滞系统。此外,一个通用的,并行的滞后反转和适应范例将开发基于可重构计算硬件,使所提出的理论的有效实施。所开发的理论和算法将在压电致动器驱动的纳米定位系统的控制中得到验证。该项目将对智能材料的许多应用领域产生积极影响,如微纳米技术、生物医学设备、机器人技术、航空航天和汽车工业。跨学科项目将为有才华的研究生和本科生,特别是那些代表性不足的群体提供宝贵的培训经验。 它还将丰富密歇根州立大学现有和新开发的智能材料和控制课程,如智能材料传感器和致动器以及自适应控制。PI还将积极寻求将开发的技术转移到纳米定位和扫描探针显微镜(SPM)行业的机会。
项目成果
期刊论文数量(0)
专著数量(0)
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会议论文数量(0)
专利数量(0)
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Xiaobo Tan其他文献
Cycle-to-cycle response of ionic polymer-metal composite materials subject to pulsing flow-induced stimulus
脉冲流诱导刺激下离子聚合物-金属复合材料的周期响应
- DOI:
10.1109/aim.2012.6265947 - 发表时间:
2012 - 期刊:
- 影响因子:0
- 作者:
Jie Zhong;David Ling;G. Zhu;Xiaobo Tan - 通讯作者:
Xiaobo Tan
Diatomological mapping of water bodies in Chongqing section of the Yangtze River and Jialing River
长江、嘉陵江重庆段水体硅藻土测绘
- DOI:
10.1007/s00414-020-02297-x - 发表时间:
2020-04 - 期刊:
- 影响因子:2.1
- 作者:
Li Zhang;Qianyun Nie;Yalei Dai;Shisheng Zhu;Jinbao Wang;Wei Wang;Xiaobo Tan;Peng Zhang;Jianbo Li - 通讯作者:
Jianbo Li
Soft mechatronics: an emerging design paradigm for the conception of intrinsically compliant electro-mechanical systems
软机电一体化:一种新兴的设计范例,用于本质上兼容的机电系统概念
- DOI:
10.1007/s11012-015-0307-9 - 发表时间:
2015 - 期刊:
- 影响因子:2.7
- 作者:
G. Berselli;Xiaobo Tan;R. Vertechy - 通讯作者:
R. Vertechy
Evolutionary Design and Experimental Validation of a Flexible Caudal Fin for Robotic Fish
机器鱼柔性尾鳍的进化设计和实验验证
- DOI:
10.7551/978-0-262-31050-5-ch043 - 发表时间:
2012 - 期刊:
- 影响因子:0
- 作者:
A. Clark;Jared M. Moore;Jianxun Wang;Xiaobo Tan;P. McKinley - 通讯作者:
P. McKinley
Design and analysis of a sliding mode controller for systems with hysteresis
滞环系统滑模控制器的设计与分析
- DOI:
10.1109/cdc.2013.6760943 - 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
M. Edardar;Xiaobo Tan;H. Khalil - 通讯作者:
H. Khalil
Xiaobo Tan的其他文献
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Collaborative Research: FW-HTF-P: Efficient Inspection of Unpiggable Pipelines through Human-Robot Integration
合作研究:FW-HTF-P:通过人机集成有效检查不可清管的管道
- 批准号:
2222635 - 财政年份:2022
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S
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1848945 - 财政年份:2019
- 资助金额:
$ 21万 - 项目类别:
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RI:小型:协作研究:不确定水下环境中信息驱动的自主探索
- 批准号:
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- 资助金额:
$ 21万 - 项目类别:
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CPS: Synergy: Tracking Fish Movement with a School of Gliding Robotic Fish
CPS:协同作用:用一群滑翔机器鱼跟踪鱼的运动
- 批准号:
1446793 - 财政年份:2014
- 资助金额:
$ 21万 - 项目类别:
Standard Grant
Novel Vanadium Dioxide-based Self-Sensing Microactuators: Modeling, Control, and Application to Micromanipulation
新型二氧化钒基自传感微执行器:建模、控制及其在微操作中的应用
- 批准号:
1301243 - 财政年份:2013
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$ 21万 - 项目类别:
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RI: Small: Collaborative Research: Bio-inspired Collaborative Sensing with Novel Gliding Robotic Fish
RI:小型:协作研究:新型滑翔机器鱼的仿生协作传感
- 批准号:
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- 资助金额:
$ 21万 - 项目类别:
Continuing Grant
CyberSEES: Type 2: Towards Sustainable Aquatic Ecosystems: A New Adaptive Sampling and Data-Enabled Monitoring and Modeling Framework
CyberSEES:类型 2:迈向可持续水生生态系统:新的自适应采样和数据支持的监测和建模框架
- 批准号:
1331852 - 财政年份:2013
- 资助金额:
$ 21万 - 项目类别:
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